MAG Institutional Network Graph (CADRE).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Institutional Network from Microsoft Academic Graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geocode Affiliations\n",
    "\n",
    "Attempt to automatically geocode institutions. Not all institutions will be able to be found and geocoded by our chosen (free) geocoding software. And some results will simply be wrong. To view the output of the code in the cell below, take a look at `geodata/geocoded.csv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "import googlemaps\n",
    "\n",
    "geocoded_data = {}\n",
    "\n",
    "with open(\"geodata/geocoded.csv\") as f:\n",
    "    reader = csv.DictReader(f)\n",
    "    for row in reader:\n",
    "        place = row[\"place\"]\n",
    "        geocoded_data[place] = row\n",
    "        del geocoded_data[place][\"place\"]\n",
    "        \n",
    "gmaps = googlemaps.Client(key='[insert key]')\n",
    "path_to_data = \"sourcedata/mag_sdg.csv\"\n",
    "\n",
    "with open(path_to_data) as datafile:\n",
    "    \n",
    "    reader = csv.DictReader(datafile)\n",
    "    for row in reader:\n",
    "        place = row[\"affiliation_name\"]\n",
    "        if place not in geocoded_data:\n",
    "            \n",
    "            try:\n",
    "                # Take first result with [0]\n",
    "                geocode_result = gmaps.geocode(place)[0]\n",
    "                country = None\n",
    "                for section in geocode_result[\"address_components\"]:\n",
    "                    if \"country\" in section[\"types\"]:\n",
    "                        country = section[\"long_name\"]\n",
    "                \n",
    "                locdata = {\n",
    "                    \"address\": geocode_result[\"formatted_address\"],\n",
    "                    \"latitude\": geocode_result[\"geometry\"][\"location\"][\"lat\"],\n",
    "                    \"longitude\": geocode_result[\"geometry\"][\"location\"][\"lng\"],\n",
    "                    \"country\": country \n",
    "                }\n",
    "                geocoded_data[place] = locdata\n",
    "                print(place, locdata[\"country\"])\n",
    "                \n",
    "            except Exception as e:\n",
    "                geocoded_data[place] = \"Null\"\n",
    "                print(\"====\", e)\n",
    "                print(\"====\", f\"Unable to locate {place}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4705"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(geocoded_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([g for g in geocoded_data if geocoded_data[g] == \"Null\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Output data to file.\n",
    "with open(\"geodata/geocoded.csv\", \"w\") as f:\n",
    "    \n",
    "    writer = csv.DictWriter(f, fieldnames=[\"place\", \"address\", \"latitude\", \"longitude\", \"country\"])\n",
    "    writer.writeheader()\n",
    "    for g, data in geocoded_data.items():\n",
    "        # print(type(data))\n",
    "        if data == \"Null\":\n",
    "            data = {\"address\": \"\", \"latitude\": \"\", \"longitude\": \"\", \"country\": \"\"}\n",
    "        data[\"place\"] = g\n",
    "        writer.writerow(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading a data file that lists countries and continents ([Source](https://datahub.io/JohnSnowLabs/country-and-continent-codes-list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "with open(\"sourcedata/country-and-continent-codes-list.json\") as f:\n",
    "    countries = json.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a lookup devices for finding countries by name, then countries and other geo-information by affiliation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "countries_by_name = {}\n",
    "for country in countries:\n",
    "    country_name = country[\"Country_Name\"].split(\",\")[0].strip()\n",
    "    countries_by_name[country_name] = country\n",
    "    \n",
    "with open(\"sourcedata/countries_by_name.json\", \"w\") as f:\n",
    "    json.dump(countries_by_name, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point, `geocoded.csv` has been updated manually with country names not found by the Google geocoder (in this case about 250 values)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "geo_by_affiliation = {}\n",
    "with open(\"geodata/geocoded.csv\") as f:\n",
    "    reader = csv.DictReader(f)\n",
    "    for row in reader:\n",
    "        geo_by_affiliation[row[\"place\"]] = row\n",
    "        \n",
    "import json\n",
    "with open(\"geodata/geo_by_affiliation.json\", \"w\") as f:\n",
    "    json.dump(geo_by_affiliation, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting data from CSV\n",
    "\n",
    "Fill out several dictionaries with data from the csv file.\n",
    "* **data_by_id**: article information keyed by article id.\n",
    "* **data_by_inst**: data about institutions keyed by the name of the institution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing country Kashmir\n",
      "Missing country Kashmir\n",
      "Missing country Africa\n",
      "Missing country Kashmir\n",
      "Missing country Kashmir\n",
      "Missing country Kashmir\n",
      "Missing country Kashmir\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import csv\n",
    "import json\n",
    "\n",
    "data_by_id = {}\n",
    "data_by_inst = {}\n",
    "year_by_id = {}\n",
    "\n",
    "missing_country_values = {\n",
    "    \"Kashmir\": \"Asia\",\n",
    "    \"Africa\": \"Africa\"\n",
    "}\n",
    "\n",
    "with open(\"geodata/geo_by_affiliation.json\") as f:\n",
    "    geo_by_affiliation = json.load(f)\n",
    "    \n",
    "with open(\"sourcedata/countries_by_name.json\") as f:\n",
    "    countries_by_name = json.load(f)\n",
    "\n",
    "with open(\"sourcedata/mag_sdg.csv\") as datafile:\n",
    "    \n",
    "    reader = csv.DictReader(datafile)\n",
    "    \n",
    "    for row in reader:\n",
    "        \n",
    "        id_ = row[\"paper_id\"]\n",
    "        author_id = row[\"author_id\"]\n",
    "        author = row[\"author_name\"]\n",
    "        inst = row[\"affiliation_name\"]\n",
    "        year = row[\"year\"]\n",
    "        year_by_id[id_] = year\n",
    "        \n",
    "        if id_ not in data_by_id:\n",
    "            data_by_id[id_] = [inst]\n",
    "        else:\n",
    "            if inst not in data_by_id[id_]:\n",
    "                data_by_id[id_].append(inst)\n",
    "        \n",
    "        if inst not in data_by_inst:\n",
    "            data_by_inst[inst] = {\n",
    "                \"affiliation_id\": [row[\"affiliation_id\"]],\n",
    "                \"affiliation_name\": [row[\"affiliation_name\"]],\n",
    "                \"author_name\": [row[\"author_name\"]],\n",
    "                \"doi\": [row[\"doi\"]] if row[\"doi\"] != \"\" else [],\n",
    "                \"paper_id\": [row[\"paper_id\"]],\n",
    "                \"year\": [row[\"year\"]],                \n",
    "            }\n",
    "            if inst in geo_by_affiliation:\n",
    "                country = geo_by_affiliation[inst][\"country\"]\n",
    "            else:\n",
    "                country = \"\"\n",
    "                print(\"Missing institution\", inst)\n",
    "                \n",
    "            if country != \"\":\n",
    "                if country in countries_by_name:\n",
    "                    continent = countries_by_name[country][\"Continent_Name\"]\n",
    "                else:\n",
    "                    print(\"Missing country\", country)\n",
    "                    continent = missing_country_values.get(country, \"Unknown\")\n",
    "            else:\n",
    "                print(\"Missing country\", country)\n",
    "                country = \"Unknown\"\n",
    "                continent = \"Unknown\"\n",
    "            \n",
    "            data_by_inst[inst][\"country\"] = country\n",
    "            data_by_inst[inst][\"continent\"] = continent\n",
    "        \n",
    "        else:\n",
    "            doi = row[\"doi\"]\n",
    "            if doi != \"\":\n",
    "                data_by_inst[inst][\"doi\"].append(doi)\n",
    "            for key in [\"affiliation_id\", \"affiliation_name\", \"author_name\", \"paper_id\", \"year\"]:\n",
    "                data_by_inst[inst][key].append(row[key])\n",
    "            \n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check values for accuracy / highlight obvious issues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['affiliation_id', 'affiliation_name', 'author_name', 'doi', 'paper_id', 'year', 'country', 'continent'])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_by_inst['university of tasmania'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'university of tasmania'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(data_by_inst.keys())[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data_by_inst['university of tasmania']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Building graph from institution and article data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, create the complete graph of all institutional collaborations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from itertools import combinations\n",
    "import networkx as nx\n",
    "\n",
    "G = nx.Graph()\n",
    "\n",
    "for id_, data in data_by_id.items():\n",
    "    \n",
    "    for i, j in combinations(data, 2):\n",
    "\n",
    "        if G.has_edge(i, j):\n",
    "            G[i][j][\"weight\"] += 1\n",
    "            G[i][j][\"years\"].append(year_by_id[id_])\n",
    "            if id_ not in G[i][j][\"articles\"]:\n",
    "                G[i][j][\"articles\"].append(id_)\n",
    "            \n",
    "        else:\n",
    "            # Attempt to determine 'scale' of geographic collaboration.\n",
    "            if data_by_inst[i][\"country\"] == \"Unknown\" or data_by_inst[j][\"country\"] == \"Unknown\":\n",
    "                connection_type = \"Unknown\"\n",
    "            elif data_by_inst[i][\"continent\"] != data_by_inst[j][\"continent\"]:\n",
    "                connection_type = \"trans-continental\"\n",
    "            elif data_by_inst[i][\"country\"] != data_by_inst[j][\"country\"]:\n",
    "                connection_type = \"international\"\n",
    "            elif data_by_inst[i][\"country\"] == data_by_inst[j][\"country\"]:\n",
    "                connection_type = \"domestic\"\n",
    "                        \n",
    "            G.add_edge(i, j, weight=1, articles=[id_], connection=connection_type, years=[year_by_id[id_]])\n",
    "\n",
    "for inst, data in G.nodes(data=True):\n",
    "    data[\"affiliation\"] = data_by_inst[inst][\"affiliation_name\"][0]\n",
    "    data[\"affiliation_label\"] = data_by_inst[inst][\"affiliation_name\"][0].title()\n",
    "    data[\"papers\"] = \"<br>\\n\".join(data_by_inst[inst][\"paper_id\"])\n",
    "    data[\"dois\"] = \"<br>\\n\".join(data_by_inst[inst][\"doi\"])\n",
    "    data[\"name\"] = \"<br>\\n\".join(list(set(data_by_inst[inst][\"author_name\"])))    \n",
    "    data[\"count\"] = len(data_by_inst[inst][\"paper_id\"])\n",
    "    data[\"country\"] = data_by_inst[inst][\"country\"]\n",
    "    data[\"continent\"] = data_by_inst[inst][\"continent\"]\n",
    "    data[\"domestic\"] = len([x for x in G[inst] if G[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in G[inst] if G[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]\n",
    "    data[\"yearspan\"] = sorted(data_by_inst[inst][\"year\"])\n",
    "    max_year = max(data_by_inst[inst][\"year\"])\n",
    "    min_year = min(data_by_inst[inst][\"year\"])\n",
    "    if max_year == min_year:\n",
    "        data[\"year\"] = max_year\n",
    "    else:\n",
    "        data[\"year\"] = \"{0}–{1}\".format(min_year, max_year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20116"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(G.edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3419"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(G.nodes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create subgraph containing only those edges with a `weight` greater than 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "145 105\n"
     ]
    }
   ],
   "source": [
    "def filter_edge(n1, n2):\n",
    "    \"\"\"Check if weight is larger than 1.\"\"\"\n",
    "    return G[n1][n2][\"weight\"] > 1\n",
    "\n",
    "def filter_node(n):\n",
    "    \"\"\"Filter out unconnected nodes.\"\"\"\n",
    "    return not nx.is_isolate(view, n)\n",
    "\n",
    "view = nx.subgraph_view(G, filter_edge=filter_edge)\n",
    "subview = nx.subgraph_view(view, filter_node=filter_node)\n",
    "print(len(subview.edges()), len(subview.nodes()))\n",
    "\n",
    "for inst, data in subview.nodes(data=True):\n",
    "    \n",
    "    data[\"domestic\"] = len([x for x in subview[inst] if subview[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in subview[inst] if subview[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split graph into two graphs, one spanning the years 1999–2008 and another for 2009–2018."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "767 3257\n",
      "1529 18970\n"
     ]
    }
   ],
   "source": [
    "G1 = nx.Graph()\n",
    "G2 = nx.Graph()\n",
    "\n",
    "def get_index_point(values, greater_than=2008):\n",
    "    \"\"\"Find index in list after which values are greater than\n",
    "    `greater_than` parameter.\"\"\"\n",
    "    index = len(values)\n",
    "    for i,v in enumerate(values):\n",
    "        if int(v) > greater_than:\n",
    "            index = i\n",
    "            break\n",
    "    return index\n",
    "        \n",
    "for e in G.edges(data=True):\n",
    "\n",
    "    years = e[2][\"years\"]\n",
    "    split_index = get_index_point(years)\n",
    "    if years[0:split_index]:\n",
    "        g1_years = years[0:split_index]\n",
    "        g1_data = {\n",
    "            \"weight\": len(g1_years),\n",
    "            \"years\": g1_years,\n",
    "            \"articles\": e[2][\"articles\"][0:split_index],\n",
    "            \"connection\": e[2][\"connection\"]\n",
    "        }\n",
    "        G1.add_edge(e[0], e[1], **g1_data)\n",
    "    if years[split_index:]:\n",
    "        g2_years = years[split_index:]\n",
    "        g2_data = {\n",
    "            \"weight\": len(g2_years),\n",
    "            \"years\": g2_years,\n",
    "            \"articles\": e[2][\"articles\"][split_index:],\n",
    "            \"connection\": e[2][\"connection\"]\n",
    "        }\n",
    "        G2.add_edge(e[0], e[1], **g2_data)\n",
    "\n",
    "print(len(G1.nodes), len(G2.nodes))\n",
    "print(len(G1.edges), len(G2.edges))\n",
    "for graph in [G1, G2]:\n",
    "    for inst, data in graph.nodes(data=True):\n",
    "        data[\"affiliation\"] = data_by_inst[inst][\"affiliation_name\"][0]\n",
    "        data[\"affiliation_label\"] = data_by_inst[inst][\"affiliation_name\"][0].title()\n",
    "        data[\"papers\"] = \"<br>\\n\".join(data_by_inst[inst][\"paper_id\"])\n",
    "        data[\"dois\"] = \"<br>\\n\".join(data_by_inst[inst][\"doi\"])\n",
    "        data[\"name\"] = \"<br>\\n\".join(list(set(data_by_inst[inst][\"author_name\"])))    \n",
    "        data[\"count\"] = len(data_by_inst[inst][\"paper_id\"])\n",
    "        data[\"country\"] = data_by_inst[inst][\"country\"]\n",
    "        data[\"continent\"] = data_by_inst[inst][\"continent\"]\n",
    "        data[\"domestic\"] = len([x for x in graph[inst] if graph[inst][x][\"connection\"] == \"domestic\"])\n",
    "        data[\"international\"] = len([x for x in graph[inst] if graph[inst][x][\"connection\"] \n",
    "                     in [\"trans-continental\", \"international\"]])\n",
    "        data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "        data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "        data[\"degree\"] = data[\"domestic\"] + data[\"international\"]\n",
    "        data[\"yearspan\"] = sorted(data_by_inst[inst][\"year\"])\n",
    "        max_year = max(data_by_inst[inst][\"year\"])\n",
    "        min_year = min(data_by_inst[inst][\"year\"])\n",
    "        if max_year == min_year:\n",
    "            data[\"year\"] = max_year\n",
    "        else:\n",
    "            data[\"year\"] = \"{0}–{1}\".format(min_year, max_year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Filter each graph by weight > 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "145 105\n"
     ]
    }
   ],
   "source": [
    "# G1\n",
    "G1subview = None\n",
    "\n",
    "def filter_edge(n1, n2):\n",
    "    \"\"\"Check if weight is larger than 1.\"\"\"\n",
    "    return G1[n1][n2][\"weight\"] > 1\n",
    "\n",
    "def filter_node(n):\n",
    "    \"\"\"Filter out unconnected nodes.\"\"\"\n",
    "    return not nx.is_isolate(G1view, n)\n",
    "\n",
    "G1view = nx.subgraph_view(G1, filter_edge=filter_edge)\n",
    "G1subview = nx.subgraph_view(G1view, filter_node=filter_node)\n",
    "\n",
    "for inst, data in G1subview.nodes(data=True):\n",
    "\n",
    "    data[\"domestic\"] = len([x for x in G1subview[inst] if G1subview[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in G1subview[inst] if G1subview[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]\n",
    "\n",
    "print(len(G1subview.edges()), len(G1subview.nodes()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2089 751\n"
     ]
    }
   ],
   "source": [
    "# G2\n",
    "\n",
    "def filter_edge(n1, n2):\n",
    "    \"\"\"Check if weight is larger than 1.\"\"\"\n",
    "    return G2[n1][n2][\"weight\"] > 1\n",
    "\n",
    "def filter_node(n):\n",
    "    \"\"\"Filter out unconnected nodes.\"\"\"\n",
    "    return not nx.is_isolate(G2view, n)\n",
    "\n",
    "G2view = nx.subgraph_view(G2, filter_edge=filter_edge)\n",
    "G2subview = nx.subgraph_view(G2view, filter_node=filter_node)\n",
    "\n",
    "for inst, data in G2subview.nodes(data=True):\n",
    "    \n",
    "    data[\"domestic\"] = len([x for x in G2subview[inst] if G2subview[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in G2subview[inst] if G2subview[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]\n",
    "\n",
    "print(len(G2subview.edges()), len(G2subview.nodes()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------\n",
      "Name: \n",
      "Type: Graph\n",
      "Number of nodes: 105\n",
      "Number of edges: 145\n",
      "Average degree:   2.7619\n",
      "--------------\n",
      "Name: \n",
      "Type: Graph\n",
      "Number of nodes: 751\n",
      "Number of edges: 2089\n",
      "Average degree:   5.5632\n"
     ]
    }
   ],
   "source": [
    "C_GRAPH = [G1subview, G2subview]\n",
    "\n",
    "for g in C_GRAPH:\n",
    "    print(\"--------------\")\n",
    "    print(nx.info(g))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.026556776556776556\n",
      "0.007417665335108744\n"
     ]
    }
   ],
   "source": [
    "for g in C_GRAPH:\n",
    "    print(nx.density(g))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.36705882352941177\n",
      "0.19259289606292762\n"
     ]
    }
   ],
   "source": [
    "from networkx import transitivity\n",
    "for g in C_GRAPH:\n",
    "    print(transitivity(g))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20\n",
      "49\n"
     ]
    }
   ],
   "source": [
    "components = []\n",
    "components_lens = []\n",
    "for g in C_GRAPH:\n",
    "    c = list(nx.connected_components(g))\n",
    "    components.append(c)\n",
    "    components_lens.append(len(c))\n",
    "for x in components_lens:\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n"
     ]
    }
   ],
   "source": [
    "largest = []\n",
    "subgraphs = {}\n",
    "\n",
    "for i,c in enumerate(components):\n",
    "    print(i)\n",
    "    largest_component = max(c, key=len)\n",
    "    subgraphs[i] = C_GRAPH[i].subgraph(largest_component)\n",
    "    # diameter = nx.diameter(subgraph)\n",
    "    # print(\"Network diameter of largest component:\", diameter)\n",
    "\n",
    "for i,g in enumerate(components):\n",
    "    print(\"Graph\", i)\n",
    "    for c in g:\n",
    "        print(len(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----------------------\n",
      "Class 0: 42\n",
      "Class 1: 4\n",
      "Class 2: 4\n",
      "Class 3: 3\n",
      "Class 4: 3\n",
      "----------------------\n",
      "Class 0: 496\n",
      "Class 1: 48\n",
      "Class 2: 11\n",
      "Class 3: 10\n",
      "Class 4: 6\n",
      "Class 5: 5\n",
      "Class 6: 5\n",
      "Class 7: 5\n",
      "Class 8: 4\n",
      "Class 9: 4\n",
      "Class 10: 4\n",
      "Class 11: 3\n",
      "Class 12: 3\n",
      "Class 13: 3\n",
      "Class 14: 3\n",
      "Class 15: 3\n"
     ]
    }
   ],
   "source": [
    "from networkx.algorithms import community\n",
    "mod_communities = []\n",
    "for s in subgraphs:\n",
    "    print(\"----------------------\")\n",
    "    cgraph = subgraphs[s]\n",
    "    communities = community.greedy_modularity_communities(cgraph)\n",
    "    mod_communities.append(communities)\n",
    "    for i,c in enumerate(communities):\n",
    "        if len(c) > 2: # Filter out modularity classes with 2 or fewer nodes\n",
    "            print('Class '+str(i)+':', len(list(c)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for j, mc in enumerate(mod_communities):\n",
    "    \n",
    "    modularity_dict = {} # Create a blank dictionary\n",
    "    for i,c in enumerate(mc): # Loop through the list of communities, keeping track of the number for the community\n",
    "        for name in c: # Loop through each person in a community\n",
    "            modularity_dict[name] = i # Create an entry in the dictionary for the person, where the value is which group they belong to.\n",
    "\n",
    "    # Now you can add modularity information like we did the other metrics\n",
    "    nx.set_node_attributes(subgraphs[j], modularity_dict, 'modularity')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create egograph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "119 120\n"
     ]
    }
   ],
   "source": [
    "node_of_interest = \"world health organization\"\n",
    "def filter_edge_ego(n1, n2):\n",
    "    \"\"\"Check if weight is larger than 1.\"\"\"\n",
    "    return node_of_interest in [n1, n2] and G[n1][n2][\"weight\"] > 1\n",
    "\n",
    "def filter_node_ego(n):\n",
    "    \"\"\"Filter out unconnected nodes.\"\"\"\n",
    "    return not nx.is_isolate(ego_view_edge, n)\n",
    "\n",
    "ego_view_edge = nx.subgraph_view(G, filter_edge=filter_edge_ego)\n",
    "ego_view = nx.subgraph_view(ego_view_edge, filter_node=filter_node_ego)\n",
    "print(len(ego_view.edges()), len(ego_view.nodes()))\n",
    "\n",
    "for inst, data in ego_view.nodes(data=True):\n",
    "    \n",
    "    data[\"domestic\"] = len([x for x in ego_view[inst] if ego_view[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in ego_view[inst] if ego_view[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create subgraph containing only the most closely connected nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "113 20\n"
     ]
    }
   ],
   "source": [
    "from operator import itemgetter\n",
    "measure_sorted = sorted(dc.items(), key=itemgetter(1), reverse=True)\n",
    "nodes_to_keep = [n[0] for n in measure_sorted[:20]]\n",
    "\n",
    "def filter_node_for_value(n):\n",
    "    \"\"\"Filter out unconnected nodes.\"\"\"\n",
    "    return n in nodes_to_keep\n",
    "\n",
    "closeness_view = nx.subgraph_view(subview, filter_node=filter_node_for_value)\n",
    "\n",
    "print(len(closeness_view.edges()), len(closeness_view.nodes()))\n",
    "\n",
    "for inst, data in closeness_view.nodes(data=True):\n",
    "\n",
    "    data[\"domestic\"] = len([x for x in closeness_view[inst] if closeness_view[inst][x][\"connection\"] == \"domestic\"])\n",
    "    data[\"international\"] = len([x for x in closeness_view[inst] if closeness_view[inst][x][\"connection\"] \n",
    "                 in [\"trans-continental\", \"international\"]])\n",
    "    data[\"domestic_pct\"] = int(round(data[\"domestic\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"international_pct\"] = int(round(data[\"international\"] / (data[\"domestic\"] + data[\"international\"]) * 100))\n",
    "    data[\"degree\"] = data[\"domestic\"] + data[\"international\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for x,y in measure_sorted:\n",
    "    print(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2389, 828)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(subview.edges()), len(subview.nodes())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Output graph data as separate files containing `nodes` and `edges` for display in `flourish.studio`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Output subview\n",
    "\n",
    "import csv\n",
    "\n",
    "graph_to_print = subgraphs[1]\n",
    "name = \"weight_1_component_1_time_2\"\n",
    "\n",
    "nx.write_edgelist(graph_to_print, \"mag_output_inst/mag_inst_edges_{0}.tsv\".format(name), delimiter=\"\\t\", data=[\"weight\", \"years\", \"connection\"])\n",
    "with open(\"mag_output_inst/mag_inst_nodes_{0}.csv\".format(name), \"w\") as f:\n",
    "    fieldnames = [\"id\", \"country\", \"continent\", \"affiliation\", \"papers\", \"name\", \"year\", \"count\",\n",
    "                 \"affiliation_label\", \"dois\", 'degree', 'domestic', 'domestic_pct', 'international_pct',\n",
    "                  'international', 'yearspan', 'modularity']\n",
    "    writer = csv.DictWriter(f, fieldnames=fieldnames)\n",
    "    writer.writeheader()\n",
    "    for n, data in list(graph_to_print.nodes(data=True)):\n",
    "        row = data\n",
    "        row[\"id\"] = n\n",
    "        writer.writerow(row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Centrality measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc = nx.closeness_centrality(subview)\n",
    "print(cc)\n",
    "bc = nx.betweenness_centrality(subview)\n",
    "print(bc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'chalmers university of technology': 0.0048367593712212815, 'sichuan university': 0.008464328899637243, 'university of california berkeley': 0.041112454655380895, 'stockholm university': 0.03264812575574365, 'university of london': 0.1414752116082225, 'makerere university': 0.022974607013301087, 'rti international': 0.013301088270858524, 'university of wisconsin madison': 0.009673518742442563, 'stanford university': 0.06166868198307134, 'university of california': 0.006045949214026602, 'portland state university': 0.0024183796856106408, 'oregon state university': 0.0048367593712212815, 'ghent university': 0.014510278113663844, 'umm al qura university': 0.0012091898428053204, 'birla institute of technology and science': 0.0012091898428053204, 'teri university': 0.0012091898428053204, 'utrecht university': 0.025392986698911726, 'kyung hee university': 0.0012091898428053204, 'purdue university': 0.0048367593712212815, 'indian agricultural research institute': 0.0012091898428053204, 'university of victoria': 0.008464328899637243, 'george mason university': 0.008464328899637243, 'wageningen university and research centre': 0.06408706166868199, 'agricultural research service': 0.003627569528415961, 'university of california davis': 0.020556227327690448, 'unicef': 0.05683192261185006, 'university of bergen': 0.009673518742442563, 'university of arizona': 0.012091898428053204, 'university of colorado boulder': 0.02781136638452237, 'university of utah': 0.008464328899637243, 'university of tokyo': 0.012091898428053204, 'tohoku university': 0.0012091898428053204, 'international fertilizer development center': 0.0012091898428053204, 'university of birmingham': 0.0012091898428053204, 'university of brasilia': 0.0024183796856106408, 'romanian academy': 0.0012091898428053204, 'national defence college india': 0.0012091898428053204, 'mekelle university': 0.0024183796856106408, 'griffith university': 0.016928657799274487, 'princess alexandra hospital': 0.0012091898428053204, 'university of massachusetts amherst': 0.0024183796856106408, 'commonwealth scientific and industrial research organisation': 0.06408706166868199, 'oak ridge national laboratory': 0.008464328899637243, 'university of the witwatersrand': 0.05078597339782345, 'amity university': 0.0012091898428053204, 'university of miami': 0.0024183796856106408, 'south florida water management district': 0.0012091898428053204, 'united states forest service': 0.003627569528415961, 'pontifical catholic university of chile': 0.0012091898428053204, 'massachusetts institute of technology': 0.012091898428053204, 'university of helsinki': 0.0012091898428053204, 'united nations university': 0.008464328899637243, 'university of lisbon': 0.0048367593712212815, 'columbia university': 0.08585247883917775, 'universidade nova de lisboa': 0.010882708585247883, 'deutsche gesellschaft fur internationale zusammenarbeit': 0.0012091898428053204, 'australian national university': 0.05562273276904474, 'harvard university': 0.10761789600967352, 'university of sao paulo': 0.025392986698911726, 'federal university of sao paulo': 0.0012091898428053204, 'federal university of rio de janeiro': 0.012091898428053204, 'university of auckland': 0.022974607013301087, 'south african medical research council': 0.010882708585247883, 'massey university': 0.0012091898428053204, 'landcare research': 0.003627569528415961, 'university of queensland': 0.04836759371221282, 'university of melbourne': 0.045949214026602174, 'university of oslo': 0.0048367593712212815, 'teikyo university': 0.0012091898428053204, 'university of dhaka': 0.0012091898428053204, 'australian defence force academy': 0.0012091898428053204, 'cairo university': 0.0012091898428053204, 'ecole polytechnique federale de lausanne': 0.007255139056831922, 'swiss federal laboratories for materials science and technology': 0.0024183796856106408, 'university of navarra': 0.0012091898428053204, 'fraunhofer society': 0.0024183796856106408, 'national institute for environmental studies': 0.008464328899637243, 'indian institute of management ahmedabad': 0.0012091898428053204, 'international rice research institute': 0.0012091898428053204, 'indian institute of science': 0.0048367593712212815, 'lawrence berkeley national laboratory': 0.003627569528415961, 'international food policy research institute': 0.026602176541717048, 'university of illinois at urbana champaign': 0.010882708585247883, 'aalborg university': 0.0012091898428053204, 'queensland university of technology': 0.006045949214026602, 'university of ghana': 0.019347037484885126, 'university of california santa barbara': 0.0048367593712212815, 'university of british columbia': 0.05078597339782345, 'university of cape town': 0.05078597339782345, 'boston children s hospital': 0.022974607013301087, 'university of alberta': 0.0012091898428053204, 'university of venda': 0.0012091898428053204, 'moi university': 0.0012091898428053204, 'university of pretoria': 0.012091898428053204, 'university of toronto': 0.053204353083434096, 'montana state university': 0.003627569528415961, 'colorado state university': 0.012091898428053204, 'south dakota state university': 0.0048367593712212815, 'utah state university': 0.0024183796856106408, 'university of wyoming': 0.003627569528415961, 'university of zurich': 0.0012091898428053204, 'university of botswana': 0.0012091898428053204, 'rhodes university': 0.0012091898428053204, 'international university cambodia': 0.0012091898428053204, 'national university of singapore': 0.007255139056831922, 'rmit university': 0.003627569528415961, 'monash university': 0.014510278113663844, 'university of leeds': 0.03143893591293833, 'eth zurich': 0.006045949214026602, 'cornell university': 0.02418379685610641, 'california institute of technology': 0.0012091898428053204, 'brown university': 0.0012091898428053204, 'woodrow wilson international center for scholars': 0.009673518742442563, 'virginia tech': 0.007255139056831922, 'northwestern university': 0.015719467956469165, 'university of southern california': 0.006045949214026602, 'university of tsukuba': 0.0012091898428053204, 'agro paristech': 0.0012091898428053204, 'institut national de la recherche agronomique': 0.007255139056831922, 'tufts university': 0.008464328899637243, 'united states geological survey': 0.009673518742442563, 'tsinghua university': 0.012091898428053204, 'princeton university': 0.007255139056831922, 'university of eastern finland': 0.007255139056831922, 'united states environmental protection agency': 0.003627569528415961, 'james cook university': 0.021765417170495766, 'aalto university': 0.0012091898428053204, 'asian development bank': 0.0012091898428053204, 'brookings institution': 0.0024183796856106408, 'united nations development programme': 0.010882708585247883, 'global environment facility': 0.0012091898428053204, 'university of paris': 0.003627569528415961, 'university of bonn': 0.0024183796856106408, 'national university of la plata': 0.0012091898428053204, 'world bank': 0.05199516324062878, 'university of twente': 0.03506650544135429, 'federal university of technology minna': 0.0012091898428053204, 'national technical university of athens': 0.006045949214026602, 'united nations': 0.03143893591293833, 'aarhus university': 0.007255139056831922, 'university of technology sydney': 0.0024183796856106408, 'university of alabama at birmingham': 0.003627569528415961, 'addis ababa university': 0.008464328899637243, 'technische universitat munchen': 0.0012091898428053204, 'university of manchester': 0.018137847642079805, 'university of potsdam': 0.0024183796856106408, 'university of tubingen': 0.0012091898428053204, 'university of hamburg': 0.003627569528415961, 'university of gothenburg': 0.006045949214026602, 'european observatory on health systems and policies': 0.0012091898428053204, 'national bureau of economic research': 0.0012091898428053204, 'cawthron institute': 0.0024183796856106408, 'environment canterbury': 0.0024183796856106408, 'university of calabria': 0.0024183796856106408, 'university of maryland college park': 0.006045949214026602, 'university of new mexico': 0.003627569528415961, 'university of alaska fairbanks': 0.019347037484885126, 'university of south africa': 0.003627569528415961, 'ohio state university': 0.0048367593712212815, 'carter center': 0.003627569528415961, 'emory university': 0.016928657799274487, 'inner mongolia university': 0.0024183796856106408, 'arizona state university': 0.020556227327690448, 'university of tennessee': 0.009673518742442563, 'university of oxford': 0.05562273276904474, 'seoul national university': 0.006045949214026602, 'universiti tun hussein onn malaysia': 0.0012091898428053204, 'polytechnic university of milan': 0.0012091898428053204, 'polytechnic university of turin': 0.0012091898428053204, 'curtin university': 0.003627569528415961, 'chinese academy of sciences': 0.03264812575574365, 'xiamen university': 0.0012091898428053204, 'georgia institute of technology': 0.003627569528415961, 'poznan university of technology': 0.0024183796856106408, 'international institute for applied systems analysis': 0.03869407496977025, 'swedish university of agricultural sciences': 0.0048367593712212815, 'carleton university': 0.007255139056831922, 'university of ibadan': 0.0024183796856106408, 'university of nebraska lincoln': 0.0048367593712212815, 'shandong university': 0.003627569528415961, 'university of zimbabwe': 0.0012091898428053204, 'university of bern': 0.0024183796856106408, 'spanish national research council': 0.008464328899637243, 'international water management institute': 0.013301088270858524, 'temple university': 0.012091898428053204, 'polytechnic university of catalonia': 0.003627569528415961, 'university of basilicata': 0.0012091898428053204, 'sapienza university of rome': 0.0024183796856106408, 'johns hopkins university': 0.12091898428053204, 'karlsruhe institute of technology': 0.003627569528415961, 'university of tehran': 0.003627569528415961, 'technical university of berlin': 0.0048367593712212815, 'ca foscari university of venice': 0.0024183796856106408, 'mcgill university': 0.010882708585247883, 'university of new south wales': 0.021765417170495766, 'university of sydney': 0.019347037484885126, 'stockholm resilience centre': 0.008464328899637243, 'stellenbosch university': 0.025392986698911726, 'the nature conservancy': 0.007255139056831922, 'university of canberra': 0.0048367593712212815, 'polytechnic university of valencia': 0.0012091898428053204, 'centre national de la recherche scientifique': 0.009673518742442563, 'pennsylvania state university': 0.008464328899637243, 'world agroforestry centre': 0.006045949214026602, 'university of copenhagen': 0.014510278113663844, 'center for international forestry research': 0.010882708585247883, 'university of east anglia': 0.020556227327690448, 'kyoto university': 0.0012091898428053204, 'hedmark university college': 0.0012091898428053204, 'norwegian university of science and technology': 0.0012091898428053204, 'ecole normale superieure': 0.0012091898428053204, 'universite libre de bruxelles': 0.003627569528415961, 'university of antwerp': 0.007255139056831922, 'universidade de passo fundo': 0.006045949214026602, 'deakin university': 0.0024183796856106408, 'jacobs university bremen': 0.0012091898428053204, 'vu university amsterdam': 0.006045949214026602, 'concordia university': 0.0012091898428053204, 'university of illinois at chicago': 0.0024183796856106408, 'illinois institute of technology': 0.0012091898428053204, 'beth israel deaconess medical center': 0.0024183796856106408, 'brigham and women s hospital': 0.018137847642079805, 'university of indonesia': 0.006045949214026602, 'university of southampton': 0.025392986698911726, 'durham university': 0.008464328899637243, 'university of minnesota': 0.015719467956469165, 'sun yat sen university': 0.0012091898428053204, 'university of trento': 0.0024183796856106408, 'food and agriculture organization': 0.006045949214026602, 'university of milan': 0.0024183796856106408, 'national yunlin university of science and technology': 0.0012091898428053204, 'erasmus university rotterdam': 0.003627569528415961, 'delft university of technology': 0.008464328899637243, 'texas a m university': 0.003627569528415961, 'ministry of health and social welfare': 0.0048367593712212815, 'the new school': 0.0012091898428053204, 'center for global development': 0.007255139056831922, 'university of pennsylvania': 0.019347037484885126, 'university of amsterdam': 0.015719467956469165, 'world health organization': 0.1438935912938331, 'united nations environment programme': 0.009673518742442563, 'world bank group': 0.007255139056831922, 'united nations population fund': 0.008464328899637243, 'yale university': 0.021765417170495766, 'university of virginia': 0.006045949214026602, 'new york university': 0.010882708585247883, 'higher university of san andres': 0.0012091898428053204, 'drexel university': 0.003627569528415961, 'international monetary fund': 0.0012091898428053204, 'aga khan university': 0.037484885126964934, 'german development institute': 0.0012091898428053204, 'imperial college london': 0.058041112454655375, 'medical research council': 0.02418379685610641, 'karolinska institutet': 0.022974607013301087, 'university of california san diego': 0.003627569528415961, 'university of glasgow': 0.008464328899637243, 'university of st andrews': 0.0024183796856106408, 'university of dundee': 0.0024183796856106408, 'idaho national laboratory': 0.0012091898428053204, 'university of rostock': 0.0012091898428053204, 'university of the western cape': 0.022974607013301087, 'university of coimbra': 0.0048367593712212815, 'universidade aberta': 0.0048367593712212815, 'laval university': 0.0012091898428053204, 'zhejiang university': 0.0024183796856106408, 'open university': 0.0012091898428053204, 'university of nottingham': 0.010882708585247883, 'university of reading': 0.018137847642079805, 'king s college london': 0.03385731559854897, 'zoological society of london': 0.0048367593712212815, 'instituto superior tecnico': 0.003627569528415961, 'tilburg university': 0.0024183796856106408, 'united states agency for international development': 0.007255139056831922, 'national institutes of health': 0.020556227327690448, 'eni': 0.0024183796856106408, 'university of surrey': 0.0048367593712212815, 'kathmandu': 0.007255139056831922, 'federal fluminense university': 0.003627569528415961, 'council of scientific and industrial research': 0.0012091898428053204, 'shahid beheshti university of medical sciences and health services': 0.0012091898428053204, 'tehran university of medical sciences': 0.003627569528415961, 'hobart corporation': 0.006045949214026602, 'jimma university': 0.0012091898428053204, 'universidad michoacana de san nicolas de hidalgo': 0.0012091898428053204, 'national autonomous university of mexico': 0.009673518742442563, 'tulane university': 0.0024183796856106408, 'great lakes university': 0.0024183796856106408, 'university of nairobi': 0.019347037484885126, 'ziauddin university': 0.0012091898428053204, 'pakistan institute of medical sciences': 0.0024183796856106408, 'cardiff university': 0.0048367593712212815, 'university of malawi': 0.010882708585247883, 'university of namibia': 0.0024183796856106408, 'university of lagos': 0.0012091898428053204, 'all india institute of medical sciences': 0.0024183796856106408, 'north carolina state university': 0.0024183796856106408, 'university of north carolina at chapel hill': 0.03022974607013301, 'centers for disease control and prevention': 0.016928657799274487, 'university of exeter': 0.014510278113663844, 'university of limpopo': 0.0012091898428053204, 'save the children': 0.037484885126964934, 'university of lethbridge': 0.0048367593712212815, 'university of papua new guinea': 0.0012091898428053204, 'royal children s hospital': 0.009673518742442563, 'university of brighton': 0.0012091898428053204, 'university of south australia': 0.003627569528415961, 'humboldt university of berlin': 0.0048367593712212815, 'leibniz association': 0.003627569528415961, 'university of zambia': 0.006045949214026602, 'george washington university': 0.003627569528415961, 'st george s hospital': 0.0012091898428053204, 'university of wollongong': 0.003627569528415961, 'nyenrode business university': 0.0012091898428053204, 'economic policy institute': 0.0024183796856106408, 'ben gurion university of the negev': 0.0012091898428053204, 'university of haifa': 0.0024183796856106408, 'vancouver island university': 0.0012091898428053204, 'ifakara health institute': 0.007255139056831922, 'beijing institute of technology': 0.0012091898428053204, 'pacific northwest national laboratory': 0.0012091898428053204, 'university of michigan': 0.019347037484885126, 'university of tasmania': 0.0048367593712212815, 'international union for conservation of nature and natural resources': 0.008464328899637243, 'university of western sydney': 0.0024183796856106408, 'international centre for diarrhoeal disease research bangladesh': 0.018137847642079805, 'university of cambridge': 0.02418379685610641, 'national research council': 0.006045949214026602, 'pompeu fabra university': 0.0012091898428053204, 'university of barcelona': 0.009673518742442563, 'university college london': 0.058041112454655375, 'vanderbilt university': 0.009673518742442563, 'american university': 0.003627569528415961, 'university of california san francisco': 0.03264812575574365, 'american museum of natural history': 0.0012091898428053204, 'university of kassel': 0.003627569528415961, 'stockholm environment institute': 0.014510278113663844, 'royal institute of technology': 0.009673518742442563, 'blekinge institute of technology': 0.0012091898428053204, 'university of guelph': 0.003627569528415961, 'university of minho': 0.0048367593712212815, 'university of johannesburg': 0.0024183796856106408, 'universiti teknologi malaysia': 0.0012091898428053204, 'university of warwick': 0.006045949214026602, 'university of rome tor vergata': 0.006045949214026602, 'university of salzburg': 0.0012091898428053204, 'research studios austria': 0.0012091898428053204, 'boston university': 0.0048367593712212815, 'maastricht university': 0.003627569528415961, 'university of khartoum': 0.0012091898428053204, 'tshwane university of technology': 0.006045949214026602, 'university of los andes': 0.0012091898428053204, 'liverpool school of tropical medicine': 0.018137847642079805, 'university of aberdeen': 0.008464328899637243, 'radboud university nijmegen': 0.0012091898428053204, 'fhi 360': 0.0024183796856106408, 'federal ministry of health': 0.007255139056831922, 'joint united nations programme on hiv aids': 0.009673518742442563, 'plymouth state university': 0.0024183796856106408, 'university health network': 0.0012091898428053204, 'institut de recherche pour le developpement': 0.0048367593712212815, 'norwegian university of life sciences': 0.003627569528415961, 'gembloux agro bio tech': 0.0012091898428053204, 'united states department of agriculture': 0.015719467956469165, 'london school of economics and political science': 0.009673518742442563, 'macquarie university': 0.0012091898428053204, 'edith cowan university': 0.0024183796856106408, 'georgetown university': 0.006045949214026602, 'wake forest university': 0.0012091898428053204, 'bill melinda gates foundation': 0.019347037484885126, 'university of massachusetts boston': 0.0012091898428053204, 'san francisco state university': 0.0012091898428053204, 'john snow inc': 0.003627569528415961, 'population council': 0.0012091898428053204, 'ryerson university': 0.0012091898428053204, 'flinders university': 0.006045949214026602, 'australian museum': 0.0048367593712212815, 'beijing normal university': 0.010882708585247883, 'university of rhode island': 0.013301088270858524, 'duke university': 0.04715840386940749, 'de la salle university': 0.0012091898428053204, 'national and kapodistrian university of athens': 0.0012091898428053204, 'michigan state university': 0.013301088270858524, 'university of delhi': 0.0012091898428053204, 'university of basel': 0.006045949214026602, 'swiss tropical and public health institute': 0.009673518742442563, 'university of washington': 0.07496977025392987, 'baylor college of medicine': 0.003627569528415961, 'universiti tunku abdul rahman': 0.0024183796856106408, 'world institute for development economics research': 0.0012091898428053204, 'universidade federal do rio grande do sul': 0.0012091898428053204, 'university of chicago': 0.0024183796856106408, 'birdlife international': 0.0048367593712212815, 'conservation international': 0.03264812575574365, 'universite de montreal': 0.0012091898428053204, 'university of malaya': 0.007255139056831922, 'mcmaster university': 0.0024183796856106408, 'max planck society': 0.025392986698911726, 'university of st gallen': 0.0012091898428053204, 'mbarara university of science and technology': 0.0012091898428053204, 'university of toulouse': 0.0012091898428053204, 'katholieke universiteit leuven': 0.0048367593712212815, 'khalifa university': 0.0024183796856106408, 'umea centre for global health research': 0.0012091898428053204, 'pan american health organization': 0.0048367593712212815, 'international livestock research institute': 0.008464328899637243, 'wellcome trust': 0.008464328899637243, 'university of ottawa': 0.0048367593712212815, 'university of the philippines manila': 0.0012091898428053204, 'university of nottingham malaysia campus': 0.0024183796856106408, 'uganda christian university': 0.0012091898428053204, 'islamic azad university': 0.0024183796856106408, 'lund university': 0.013301088270858524, 'world wide fund for nature': 0.007255139056831922, 'rockefeller foundation': 0.003627569528415961, 'university of chile': 0.0048367593712212815, 'indian ministry of environment and forests': 0.0012091898428053204, 'queen mary university of london': 0.009673518742442563, 'university of gottingen': 0.0048367593712212815, 'north china electric power university': 0.0012091898428053204, 'ministry of health and social services': 0.0012091898428053204, 'university of bath': 0.0012091898428053204, 'rothamsted research': 0.008464328899637243, 'charles darwin university': 0.0012091898428053204, 'university of science and technology beijing': 0.0012091898428053204, 'university of california los angeles': 0.0048367593712212815, 'university of south florida': 0.014510278113663844, 'university of granada': 0.0024183796856106408, 'university of la rioja': 0.0012091898428053204, 'mahidol university': 0.006045949214026602, 'university of cincinnati': 0.0012091898428053204, 'university of georgia': 0.0024183796856106408, 'ministry of health and family welfare': 0.0048367593712212815, 'queen s university': 0.0012091898428053204, 'jhpiego': 0.0012091898428053204, 'kwame nkrumah university of science and technology': 0.003627569528415961, 'washington state university': 0.018137847642079805, 'university of oklahoma': 0.0012091898428053204, 'georgetown university law center': 0.003627569528415961, 'mid sweden university': 0.0012091898428053204, 'sodertorn university': 0.0012091898428053204, 'leiden university': 0.0012091898428053204, 'university of adelaide': 0.0048367593712212815, 'institute of tropical medicine antwerp': 0.018137847642079805, 'norwegian institute of public health': 0.003627569528415961, 'university of pamplona': 0.0012091898428053204, 'escuela colombiana de ingenieria': 0.0012091898428053204, 'eduardo mondlane university': 0.0012091898428053204, 'overseas development institute': 0.0024183796856106408, 'uppsala university': 0.006045949214026602, 'la trobe university': 0.009673518742442563, 'free university of brussels': 0.0048367593712212815, 'umea university': 0.013301088270858524, 'san diego state university': 0.014510278113663844, 'mediterranea university of reggio calabria': 0.0012091898428053204, 'university of edinburgh': 0.029020556227327687, 'peking university': 0.02418379685610641, 'sao paulo state university': 0.0012091898428053204, 'university of alicante': 0.0012091898428053204, 'universidad autonoma de yucatan': 0.0012091898428053204, 'public health foundation of india': 0.016928657799274487, 'icahn school of medicine at mount sinai': 0.0048367593712212815, 'murdoch university': 0.0024183796856106408, 'national oceanic and atmospheric administration': 0.02418379685610641, 'centre for the aids programme of research in south africa': 0.007255139056831922, 'university of kwazulu natal': 0.014510278113663844, 'obafemi awolowo university': 0.0012091898428053204, 'empresa brasileira de pesquisa agropecuaria': 0.0024183796856106408, 'federal university of para': 0.0012091898428053204, 'university of split': 0.007255139056831922, 'university of zagreb': 0.0012091898428053204, 'royal tropical institute': 0.003627569528415961, 'kenya medical research institute': 0.008464328899637243, 'chinese center for disease control and prevention': 0.006045949214026602, 'supagro': 0.0012091898428053204, 'china university of geosciences': 0.0024183796856106408, 'great zimbabwe university': 0.0012091898428053204, 'university of health and allied sciences': 0.0024183796856106408, 'national university of malaysia': 0.0024183796856106408, 'kassala university': 0.0012091898428053204, 'bournemouth university': 0.0012091898428053204, 'university of otago': 0.006045949214026602, 'depaul university': 0.0012091898428053204, 'universiti sains malaysia': 0.0012091898428053204, 'university of aveiro': 0.007255139056831922, 'college of health sciences bahrain': 0.014510278113663844, 'university of liverpool': 0.006045949214026602, 'jilin university': 0.0012091898428053204, 'hanoi school of public health': 0.003627569528415961, 'john radcliffe hospital': 0.0024183796856106408, 'university of maryland baltimore': 0.012091898428053204, 'university of calgary': 0.0024183796856106408, 'fudan university': 0.0048367593712212815, 'helmholtz centre for environmental research ufz': 0.012091898428053204, 'university of western australia': 0.0024183796856106408, 'clark university': 0.0012091898428053204, 'university of szczecin': 0.0012091898428053204, 'university of florida': 0.041112454655380895, 'partners in health': 0.007255139056831922, 'trinity college': 0.003627569528415961, 'ludwig maximilian university of munich': 0.0048367593712212815, 'global forum for health research': 0.0012091898428053204, 'guttmacher institute': 0.0012091898428053204, 'royal veterinary college': 0.003627569528415961, 'bayero university kano': 0.0012091898428053204, 'world heart federation': 0.0024183796856106408, 'state university of campinas': 0.003627569528415961, 'universite catholique de louvain': 0.007255139056831922, 'university of houston': 0.0012091898428053204, 'finnish environment institute': 0.0024183796856106408, 'rand corporation': 0.0048367593712212815, 'university of bordeaux': 0.0012091898428053204, 'autonomous university of barcelona': 0.0024183796856106408, 'university of turin': 0.0012091898428053204, 'universidade federal de santa maria': 0.0012091898428053204, 'morgan state university': 0.0012091898428053204, 'universidade federal de pelotas': 0.007255139056831922, 'netherlands environmental assessment agency': 0.015719467956469165, 'potsdam institute for climate impact research': 0.025392986698911726, 'graduate institute of international and development studies': 0.0012091898428053204, 'university of waterloo': 0.010882708585247883, 'international institute for environment and development': 0.003627569528415961, 'paris descartes university': 0.0012091898428053204, 'democritus university of thrace': 0.0012091898428053204, 'international vaccine institute': 0.0012091898428053204, 'unesco ihe institute for water education': 0.003627569528415961, 'james hutton institute': 0.0012091898428053204, 'st george s university of london': 0.0012091898428053204, 'maastricht graduate school of governance': 0.0012091898428053204, 'bayer': 0.0012091898428053204, 'medecins sans frontieres': 0.0024183796856106408, 'international union against tuberculosis and lung disease': 0.008464328899637243, 'university of southern mississippi': 0.0012091898428053204, 'dartmouth college': 0.0024183796856106408, 'bangor university': 0.0024183796856106408, 'university of the west of england': 0.0024183796856106408, 'university of alcala': 0.009673518742442563, 'washington university in st louis': 0.0012091898428053204, 'inter american development bank': 0.0012091898428053204, 'tokyo institute of technology': 0.0012091898428053204, 'university of sheffield': 0.0024183796856106408, 'carnegie mellon university': 0.0012091898428053204, 'tata institute of social sciences': 0.0024183796856106408, 'international institute for population sciences': 0.0024183796856106408, 'indian institute of technology roorkee': 0.0024183796856106408, 'cayetano heredia university': 0.006045949214026602, 'kyushu university': 0.0012091898428053204, 'world vision international': 0.0012091898428053204, 'university of essex': 0.0012091898428053204, 'national institute for medical research': 0.003627569528415961, 'research triangle park': 0.0012091898428053204, 'versailles saint quentin en yvelines university': 0.0012091898428053204, 'heriot watt university': 0.0012091898428053204, 'university of bradford': 0.0012091898428053204, 'coventry university': 0.0012091898428053204, 'st michael s hospital': 0.0012091898428053204, 'charles university in prague': 0.0012091898428053204, 'linkoping university': 0.0012091898428053204, 'rice university': 0.0024183796856106408, 'dalhousie university': 0.0024183796856106408, 'joint global change research institute': 0.0048367593712212815, 'university of valencia': 0.0048367593712212815, 'university of newcastle': 0.0012091898428053204, 'unesco': 0.0012091898428053204, 'university of pittsburgh': 0.0048367593712212815, 'university of the philippines': 0.007255139056831922, 'university of porto': 0.0024183796856106408, 'punjabi university': 0.0012091898428053204, 'heidelberg university': 0.007255139056831922, 'norwegian institute for air research': 0.0048367593712212815, 'oswaldo cruz foundation': 0.007255139056831922, 'american public health association': 0.0012091898428053204, 'american university of beirut': 0.0012091898428053204, 'martin luther university of halle wittenberg': 0.010882708585247883, 'jomo kenyatta university of agriculture and technology': 0.0012091898428053204, 'university of western ontario': 0.0024183796856106408, 'national institute on drug abuse': 0.0012091898428053204, 'university of osnabruck': 0.003627569528415961, 'york university': 0.0024183796856106408, 'oko institut': 0.0024183796856106408, 'food and environment research agency': 0.0012091898428053204, 'kansas state university': 0.0024183796856106408, 'sheffield hallam university': 0.0024183796856106408, 'national university of rwanda': 0.007255139056831922, 'international institute for sustainable development': 0.0012091898428053204, 'south china agricultural university': 0.0012091898428053204, 'university of the free state': 0.006045949214026602, 'national center for atmospheric research': 0.0048367593712212815, 'technion israel institute of technology': 0.0012091898428053204, 'environmental defense fund': 0.0012091898428053204, 'indian institute of technology guwahati': 0.0024183796856106408, 'walchand institute of technology': 0.0024183796856106408, 'manhattan college': 0.0012091898428053204, 'university of connecticut': 0.013301088270858524, 'instituto politecnico nacional': 0.0012091898428053204, 'university of the algarve': 0.0012091898428053204, 'university of science and technology sana a': 0.0012091898428053204, 'stockholm international water institute': 0.0012091898428053204, 'university of vermont': 0.003627569528415961, 'federal university of sao carlos': 0.0012091898428053204, 'university of york': 0.006045949214026602, 'university of geneva': 0.0024183796856106408, 'college of the north atlantic': 0.0012091898428053204, 'uganda virus research institute': 0.0012091898428053204, 'university of gloucestershire': 0.0012091898428053204, 'university of cordoba': 0.0012091898428053204, 'brac university': 0.008464328899637243, 'newcastle university': 0.0024183796856106408, 'charles sturt university': 0.0012091898428053204, 'bangladesh centre for advanced studies': 0.0012091898428053204, 'ithaca college': 0.0012091898428053204, 'masaryk university': 0.0012091898428053204, 'north west university': 0.006045949214026602, 'denver federal center': 0.0012091898428053204, 'manchester metropolitan university': 0.0012091898428053204, 'michigan technological university': 0.0012091898428053204, 'united nations office on drugs and crime': 0.003627569528415961, 'world food programme': 0.003627569528415961, 'aberystwyth university': 0.0012091898428053204, 'international center for tropical agriculture': 0.015719467956469165, 'ansaldo sts': 0.0012091898428053204, 'enea': 0.0012091898428053204, 'simon fraser university': 0.0024183796856106408, 'kaduna state university': 0.0024183796856106408, 'swiss federal institute of aquatic science and technology': 0.0012091898428053204, 'graz university of technology': 0.0024183796856106408, 'university of manitoba': 0.0012091898428053204, 'university of kiel': 0.0024183796856106408, 'kiel institute for the world economy': 0.0048367593712212815, 'northwest university': 0.0012091898428053204, 'university of belgrade': 0.0024183796856106408, 'the chinese university of hong kong': 0.0048367593712212815, 'university of hong kong': 0.003627569528415961, 'university of regina': 0.006045949214026602, 'children s hospital at westmead': 0.0024183796856106408, 'assiut university': 0.0012091898428053204, 'university of bristol': 0.010882708585247883, 'seattle children s': 0.0012091898428053204, 'university of dar es salaam': 0.0012091898428053204, 'keio university': 0.0024183796856106408, 'vilnius gediminas technical university': 0.0012091898428053204, 'pedagogical university': 0.0012091898428053204, 'hanyang university': 0.0024183796856106408, 'medical college of wisconsin': 0.0012091898428053204, 'council for scientific and industrial research': 0.006045949214026602, 'new york blood center': 0.0048367593712212815, 'karolinska university hospital': 0.0024183796856106408, 'national chin yi university of technology': 0.0012091898428053204, 'chaoyang university of technology': 0.0012091898428053204, 'dalle molle institute for artificial intelligence research': 0.0012091898428053204, 'burnet institute': 0.003627569528415961, 'university of saskatchewan': 0.0012091898428053204, 'mcgill university health centre': 0.0012091898428053204, 'university of buenos aires': 0.0012091898428053204, 'lancaster university': 0.009673518742442563, 'hampton university': 0.0024183796856106408, 'world conservation monitoring centre': 0.0024183796856106408, 'royal swedish academy of sciences': 0.0024183796856106408, 'mental health services': 0.0012091898428053204, 'east carolina university': 0.012091898428053204, 'atlantic oceanographic and meteorological laboratory': 0.0024183796856106408, 'qimr berghofer medical research institute': 0.0012091898428053204, 'federal university of bahia': 0.003627569528415961, 'auckland university of technology': 0.006045949214026602, 'national university of ireland galway': 0.0012091898428053204, 'city college of new york': 0.003627569528415961, 'rio de janeiro state university': 0.0024183796856106408, 'research institute of organic agriculture': 0.0012091898428053204, 'asm clermont auvergne': 0.0012091898428053204, 'china agricultural university': 0.0012091898428053204, 'nationwide children s hospital': 0.0012091898428053204, 'sokoine university of agriculture': 0.003627569528415961, 'university of port harcourt': 0.0012091898428053204, 'international medical corps': 0.0012091898428053204, 'government of south africa': 0.0012091898428053204, 'swinburne university of technology': 0.0012091898428053204, 'cooperative research centre': 0.0012091898428053204, 'university of leicester': 0.0024183796856106408, 'beijing forestry university': 0.0012091898428053204, 'bocconi university': 0.006045949214026602, 'city university of new york': 0.0012091898428053204, 'columbia university medical center': 0.0012091898428053204, 'university of nigeria nsukka': 0.0024183796856106408, 'the global fund to fight aids tuberculosis and malaria': 0.0012091898428053204, 'tarbiat modares university': 0.0012091898428053204, 'university of liege': 0.006045949214026602, 'university of strathclyde': 0.0024183796856106408, 'southern cross university': 0.0012091898428053204, 'university of bologna': 0.0012091898428053204, 'federal reserve bank of new york': 0.0012091898428053204, 'ottawa hospital research institute': 0.0012091898428053204, 'millennium institute': 0.0012091898428053204, 'ikerbasque': 0.0012091898428053204, 'energy institute': 0.0012091898428053204, 'czech university of life sciences prague': 0.0012091898428053204, 'tel aviv university': 0.0012091898428053204, 'tallinn university of technology': 0.0012091898428053204, 'march of dimes': 0.0012091898428053204, 'cgiar': 0.018137847642079805, 'glenville state college': 0.0012091898428053204, 'pacific institute': 0.0024183796856106408, 'konkuk university': 0.0012091898428053204, 'health alliance international': 0.0012091898428053204, 'nagoya university': 0.0012091898428053204, 'ucl institute of child health': 0.0024183796856106408, 'goddard institute for space studies': 0.0012091898428053204, 'university of hull': 0.003627569528415961, 'world resources institute': 0.003627569528415961, 'australian catholic university': 0.0012091898428053204, 'national water and sewerage corporation': 0.0012091898428053204, 'international development research centre': 0.0012091898428053204, 'environment agency': 0.0024183796856106408, 'university of texas at el paso': 0.0012091898428053204, 'addis continental institute of public health': 0.003627569528415961, 'university of lorraine': 0.0012091898428053204, 'game wildlife conservation trust': 0.003627569528415961, 'rutgers university': 0.02781136638452237, 'university at buffalo': 0.0024183796856106408, 'university of the west indies': 0.0024183796856106408, 'national defense university': 0.0012091898428053204, 'university of gondar': 0.007255139056831922, 'national health service': 0.0012091898428053204, 'university of ontario institute of technology': 0.0012091898428053204, 'health services academy': 0.0012091898428053204, 'aston university': 0.0012091898428053204, 'jawaharlal nehru medical college aligarh': 0.0024183796856106408, 'university of mataram': 0.0012091898428053204, 'princess margaret cancer centre': 0.0012091898428053204, 'intermountain healthcare': 0.0012091898428053204, 'indian institute of technology bombay': 0.0012091898428053204, 'free university of berlin': 0.0024183796856106408, 'hanoi university': 0.006045949214026602, 'masdar institute of science and technology': 0.0012091898428053204, 'aga khan university hospital': 0.0012091898428053204, 'islamic azad university of karaj': 0.0012091898428053204, 'walter sisulu university': 0.0012091898428053204, 'university for development studies': 0.0012091898428053204, 'pace university': 0.0024183796856106408, 'touro college': 0.0012091898428053204, 'gyeongsang national university': 0.0012091898428053204, 'hebei normal university': 0.0012091898428053204, 'bioversity international': 0.018137847642079805, 'bahir dar university': 0.0024183796856106408, 'liverpool john moores university': 0.0024183796856106408, 'university of rajshahi': 0.0012091898428053204, 'national institute for space research': 0.0024183796856106408, 'johns hopkins university school of medicine': 0.0024183796856106408, 'indian institutes of technology': 0.0012091898428053204, 'marie stopes international': 0.0012091898428053204, 'health effects institute': 0.0012091898428053204, 'university of denver': 0.0012091898428053204, 'instituto de salud carlos iii': 0.0012091898428053204, 'maastricht university medical centre': 0.0012091898428053204, 'iran university of medical sciences': 0.0012091898428053204, 'indian council of agricultural research': 0.0012091898428053204, 'university of cape coast': 0.0024183796856106408, 'european commission': 0.0012091898428053204, 'university of palermo': 0.0012091898428053204, 'hanoi medical university': 0.008464328899637243, 'national dong hwa university': 0.0012091898428053204, 'observer research foundation': 0.0012091898428053204, 'university of insubria': 0.0012091898428053204, 'chongqing university': 0.0012091898428053204, 'vanderbilt university medical center': 0.0024183796856106408, 'seoul national university hospital': 0.003627569528415961, 'chinhoyi university of technology': 0.0012091898428053204, 'public health england': 0.0012091898428053204, 'colorado school of mines': 0.0012091898428053204, 'massachusetts eye and ear infirmary': 0.006045949214026602, 'northumbria university': 0.013301088270858524, 'trent university': 0.0012091898428053204, 'cranfield university': 0.0012091898428053204, 'children s memorial hospital': 0.008464328899637243, 'university of buea': 0.0012091898428053204, 'national yang ming university': 0.0012091898428053204, 'the george institute for global health': 0.006045949214026602, 'sultan qaboos university': 0.0012091898428053204, 'helwan university': 0.0012091898428053204, 'university of valladolid': 0.0012091898428053204, 'international center for agricultural research in the dry areas': 0.006045949214026602, 'university of the basque country': 0.0024183796856106408, 'national museum of natural history': 0.0024183796856106408, 'university of atlanta': 0.0012091898428053204, 'office of environment and heritage': 0.0024183796856106408, 'saint mary s college of california': 0.0012091898428053204, 'international hiv aids alliance': 0.0012091898428053204, 'pacific northwest university of health sciences': 0.0024183796856106408, 'mathematica policy research': 0.0012091898428053204, 'prevention institute': 0.0024183796856106408, 'universidad san francisco de quito': 0.0012091898428053204, 'covenant university': 0.0012091898428053204, 'fuzhou university': 0.0012091898428053204, 'world meteorological organization': 0.0012091898428053204, 'capital university of economics and business': 0.0012091898428053204, 'center for excellence in education': 0.0012091898428053204, 'university of montpellier': 0.0012091898428053204, 'leeds beckett university': 0.0012091898428053204, 'babol noshirvani university of technology': 0.0012091898428053204, 'university of east sarajevo': 0.0012091898428053204, 'nhtv breda university of applied sciences': 0.0012091898428053204, 'university of south florida st petersburg': 0.003627569528415961, 'national ecological observatory network': 0.0024183796856106408, 'tufts medical center': 0.0012091898428053204, 'kazan federal university': 0.0012091898428053204, 'marine biological association of the united kingdom': 0.0012091898428053204, 'business school lausanne': 0.0012091898428053204, 'china west normal university': 0.0012091898428053204, 'global biodiversity information facility': 0.008464328899637243, 'florida museum of natural history': 0.009673518742442563, 'africa rice center': 0.0012091898428053204, 'autonomous university of madrid': 0.0012091898428053204, 'state university of new york at fredonia': 0.0024183796856106408, 'minzu university of china': 0.0012091898428053204, 'dongguan university of technology': 0.0024183796856106408, 'aurecon': 0.0024183796856106408, 'amrita vishwa vidyapeetham': 0.0012091898428053204, 'etseib': 0.0012091898428053204, 'university of toledo': 0.012091898428053204, 'suny downstate medical center': 0.013301088270858524, 'st luke s university health network': 0.012091898428053204, 'mercy medical center': 0.012091898428053204, 'summa health system': 0.012091898428053204, 'baba banda singh bahadur engineering college': 0.0012091898428053204, 'international aids society': 0.0012091898428053204, 'green templeton college': 0.0012091898428053204, 'hamburg university of applied sciences': 0.0012091898428053204, 'universiti utara malaysia': 0.0012091898428053204, 'international organization for migration': 0.0012091898428053204, 'west pomeranian university of technology': 0.0012091898428053204}\n",
      "{'chalmers university of technology': 0.002116113564661423, 'sichuan university': 0.037571262044788466, 'university of california berkeley': 0.11052860942954913, 'stockholm university': 0.0536177056739637, 'university of london': 0.2847334779824357, 'makerere university': 0.0852742937466454, 'rti international': 0.05621226134806008, 'university of wisconsin madison': 0.009244679934311065, 'stanford university': 0.13648108236576909, 'university of california': 0.02494124523964471, 'portland state university': 0.002563665313532227, 'oregon state university': 0.01226904980246605, 'ghent university': 0.0470485696169327, 'umm al qura university': 8.908325072181527e-18, 'birla institute of technology and science': 8.908325072181527e-18, 'teri university': 0.0022868894271191507, 'utrecht university': 0.04274501217115061, 'kyung hee university': 1.0603919050306412e-16, 'purdue university': 0.0027279153792527607, 'indian agricultural research institute': 8.908325072181527e-18, 'university of victoria': 0.012674095436942569, 'george mason university': 0.015041929504831313, 'wageningen university and research centre': 0.0546267952008738, 'agricultural research service': 0.005018718261986706, 'university of california davis': 0.053330910717835724, 'unicef': 0.16171238327230758, 'university of bergen': 0.022389755081469873, 'university of arizona': 0.03125920940931728, 'university of colorado boulder': 0.05572582229905151, 'university of utah': 0.02391789892853091, 'university of tokyo': 0.010478703738044224, 'tohoku university': 0.00039511644855218383, 'international fertilizer development center': 0.002059930207952085, 'university of birmingham': 0.002017766191087953, 'university of brasilia': 0.005366517236797396, 'romanian academy': 8.908325072181527e-18, 'national defence college india': 8.908325072181527e-18, 'mekelle university': 0.0008454308929717765, 'griffith university': 0.033745175411382125, 'princess alexandra hospital': 0.0012722853385028518, 'university of massachusetts amherst': 0.010263662255938728, 'commonwealth scientific and industrial research organisation': 0.0889234423942244, 'oak ridge national laboratory': 0.006846425618537501, 'university of the witwatersrand': 0.15239231329991523, 'amity university': 1.0603919050306412e-16, 'university of miami': 0.004210969821731181, 'south florida water management district': 0.00015876842779933659, 'united states forest service': 0.007192882452095277, 'pontifical catholic university of chile': 0.0003491097919482658, 'massachusetts institute of technology': 0.018651767696433556, 'university of helsinki': 1.0707715512906632e-05, 'united nations university': 0.004896297747951379, 'university of lisbon': 0.0023249361902588726, 'columbia university': 0.1928028137272897, 'universidade nova de lisboa': 0.007277452767331707, 'deutsche gesellschaft fur internationale zusammenarbeit': 8.908325072181527e-18, 'australian national university': 0.10404131642795292, 'harvard university': 0.24241218040607798, 'university of sao paulo': 0.047903753660120216, 'federal university of sao paulo': 0.0018059982043723778, 'federal university of rio de janeiro': 0.026420214866868432, 'university of auckland': 0.08881847777667563, 'south african medical research council': 0.05708152776572841, 'massey university': 8.908325072181527e-18, 'landcare research': 0.0011198302239176158, 'university of queensland': 0.10046656717577485, 'university of melbourne': 0.1332558880204831, 'university of oslo': 0.023585420597774742, 'teikyo university': 0.00039511644855218383, 'university of dhaka': 0.00039511644855218383, 'australian defence force academy': 8.908325072181527e-18, 'cairo university': 8.908325072181527e-18, 'ecole polytechnique federale de lausanne': 0.0075629020560493984, 'swiss federal laboratories for materials science and technology': 0.0006342475370693235, 'university of navarra': 0.005145892541142239, 'fraunhofer society': 0.0002060793182247906, 'national institute for environmental studies': 0.011348215406835473, 'indian institute of management ahmedabad': 0.0003846562082034392, 'international rice research institute': 0.002059930207952085, 'indian institute of science': 0.0003721570181471265, 'lawrence berkeley national laboratory': 0.009827985119962898, 'international food policy research institute': 0.052628448229169324, 'university of illinois at urbana champaign': 0.016841380640009233, 'aalborg university': 8.908325072181527e-18, 'queensland university of technology': 0.011798981603120992, 'university of ghana': 0.033405577067620484, 'university of california santa barbara': 0.016337129103240686, 'university of british columbia': 0.10070226095961188, 'university of cape town': 0.13929352347908847, 'boston children s hospital': 0.07099526483734693, 'university of alberta': 5.413487187645684e-06, 'university of venda': 0.0005944081987974936, 'moi university': 0.005227895966119841, 'university of pretoria': 0.035855160435845364, 'university of toronto': 0.13866925014216047, 'montana state university': 0.00030907570933070167, 'colorado state university': 0.0075447485694594, 'south dakota state university': 0.0003433973006013668, 'utah state university': 0.00036222472516776093, 'university of wyoming': 0.00030907570933070167, 'university of zurich': 0.00016405173101211433, 'university of botswana': 0.0025581296129866724, 'rhodes university': 0.001351743477081804, 'international university cambodia': 8.908325072181527e-18, 'national university of singapore': 0.014724230431640766, 'rmit university': 0.0016501135938340782, 'monash university': 0.033496035818603095, 'university of leeds': 0.06419666269009154, 'eth zurich': 0.009260163052694016, 'cornell university': 0.06899181446238091, 'california institute of technology': 0.0026011119955580767, 'brown university': 0.0010025146066964753, 'woodrow wilson international center for scholars': 0.007495942188150824, 'virginia tech': 0.004796920097826171, 'northwestern university': 0.06186374628640077, 'university of southern california': 0.018715285050564533, 'university of tsukuba': 0.00010793736245080726, 'agro paristech': 0.00020493868556259857, 'institut national de la recherche agronomique': 0.005434913475408289, 'tufts university': 0.043981323042244405, 'united states geological survey': 0.00984642254921588, 'tsinghua university': 0.010587880646212373, 'princeton university': 0.020830391326556133, 'university of eastern finland': 0.007516725621626331, 'united states environmental protection agency': 0.005136593782805907, 'james cook university': 0.04019197945402142, 'aalto university': 7.978876214714484e-05, 'asian development bank': 0.00017074643129781172, 'brookings institution': 0.004529071074761233, 'united nations development programme': 0.029608331524556046, 'global environment facility': 0.0011162488207496735, 'university of paris': 0.0004332883232454067, 'university of bonn': 0.0021689929329912006, 'national university of la plata': 0.004522634165301311, 'world bank': 0.11996168297315377, 'university of twente': 0.054478918924230194, 'federal university of technology minna': 8.908325072181527e-18, 'national technical university of athens': 0.002101006680396496, 'united nations': 0.09074989563126927, 'aarhus university': 0.004350130054885717, 'university of technology sydney': 0.003105352220659101, 'university of alabama at birmingham': 0.006169376706421854, 'addis ababa university': 0.00978105925060762, 'technische universitat munchen': 0.0003491097919482658, 'university of manchester': 0.05326252740579817, 'university of potsdam': 0.0014956707863690844, 'university of tubingen': 0.00014812072918143397, 'university of hamburg': 0.00586535522455233, 'university of gothenburg': 0.013475660302376773, 'european observatory on health systems and policies': 0.01073466611220216, 'national bureau of economic research': 0.000354697750706507, 'cawthron institute': 4.388428968689923e-05, 'environment canterbury': 4.388428968689923e-05, 'university of calabria': 4.5709804614044106e-05, 'university of maryland college park': 0.0036272808520386255, 'university of new mexico': 0.0019814654784736027, 'university of alaska fairbanks': 0.0355486769004326, 'university of south africa': 0.007107161684328697, 'ohio state university': 0.004792615425892346, 'carter center': 0.009036042519263246, 'emory university': 0.07577971727203825, 'inner mongolia university': 0.0025356940869337772, 'arizona state university': 0.036498789608101115, 'university of tennessee': 0.004510975518679474, 'university of oxford': 0.12880806181962867, 'seoul national university': 0.0003519647484228464, 'universiti tun hussein onn malaysia': 8.908325072181527e-18, 'polytechnic university of milan': 8.908325072181527e-18, 'polytechnic university of turin': 8.908325072181527e-18, 'curtin university': 0.010295086300832403, 'chinese academy of sciences': 0.030748359656777247, 'xiamen university': 8.908325072181527e-18, 'georgia institute of technology': 0.003493223352791501, 'poznan university of technology': 0.0025257121343469882, 'international institute for applied systems analysis': 0.06065305533794089, 'swedish university of agricultural sciences': 0.007521613111250051, 'carleton university': 0.006333733758642698, 'university of ibadan': 0.0044395112960279514, 'university of nebraska lincoln': 0.000944496534887214, 'shandong university': 0.0005847517567131627, 'university of zimbabwe': 8.908325072181527e-18, 'university of bern': 0.010159476462293303, 'spanish national research council': 0.010917298131199989, 'international water management institute': 0.02326292455681431, 'temple university': 0.018978897583695836, 'polytechnic university of catalonia': 0.00041277543622317807, 'university of basilicata': 4.854837915775925e-06, 'sapienza university of rome': 0.00012878455917263873, 'johns hopkins university': 0.23935148799630576, 'karlsruhe institute of technology': 0.0006257894879359261, 'university of tehran': 4.710484039621823e-15, 'technical university of berlin': 0.005457708225408673, 'ca foscari university of venice': 2.6006007484232784e-15, 'mcgill university': 0.03223510613196533, 'university of new south wales': 0.041652480607901034, 'university of sydney': 0.06137267903501802, 'stockholm resilience centre': 0.025191223157171386, 'stellenbosch university': 0.06601001205094331, 'the nature conservancy': 0.011789281732580167, 'university of canberra': 0.006590048326277178, 'polytechnic university of valencia': 7.802677012458069e-05, 'centre national de la recherche scientifique': 0.007245471621221706, 'pennsylvania state university': 0.018437745687999853, 'world agroforestry centre': 0.0048849628884045275, 'university of copenhagen': 0.03265159109562905, 'center for international forestry research': 0.015624523175662205, 'university of east anglia': 0.04399862138325566, 'kyoto university': 8.908325072181527e-18, 'hedmark university college': 8.908325072181527e-18, 'norwegian university of science and technology': 8.908325072181527e-18, 'ecole normale superieure': 1.6337961374311196e-05, 'universite libre de bruxelles': 0.008138995657343372, 'university of antwerp': 0.01503179925936883, 'universidade de passo fundo': 3.774966646922758e-05, 'deakin university': 0.010207256005085742, 'jacobs university bremen': 8.908325072181527e-18, 'vu university amsterdam': 0.00710832734552761, 'concordia university': 0.0033529948481947564, 'university of illinois at chicago': 0.0077156849803605935, 'illinois institute of technology': 0.00013170555667475935, 'beth israel deaconess medical center': 0.011857147696696395, 'brigham and women s hospital': 0.07209297581007823, 'university of indonesia': 0.01639052840773317, 'university of southampton': 0.08202656123362805, 'durham university': 0.02780269040492653, 'university of minnesota': 0.039259161695712204, 'sun yat sen university': 0.001159473413829484, 'university of trento': 1.499620613515119e-16, 'food and agriculture organization': 0.012160200672759608, 'university of milan': 2.6006007484232784e-15, 'national yunlin university of science and technology': 8.908325072181527e-18, 'erasmus university rotterdam': 0.011033900885560726, 'delft university of technology': 0.009873657955094107, 'texas a m university': 0.004663767551487282, 'ministry of health and social welfare': 0.024338021483984954, 'the new school': 0.006096599378208176, 'center for global development': 0.029730235685992486, 'university of pennsylvania': 0.06785378278615663, 'university of amsterdam': 0.022143076528434537, 'world health organization': 0.2690941679523446, 'united nations environment programme': 0.010200519008828684, 'world bank group': 0.030573240430611732, 'united nations population fund': 0.040714671483296064, 'yale university': 0.06672521497077724, 'university of virginia': 0.021948271086731086, 'new york university': 0.02578113208667346, 'higher university of san andres': 1.0603919050306412e-16, 'drexel university': 0.004889394313374827, 'international monetary fund': 0.004522634165301311, 'aga khan university': 0.12063348472356566, 'german development institute': 8.908325072181527e-18, 'imperial college london': 0.1398591859075427, 'medical research council': 0.08765483195489827, 'karolinska institutet': 0.06813379397563335, 'university of california san diego': 0.009408330605064586, 'university of glasgow': 0.018517739729906103, 'university of st andrews': 0.0022881920505115534, 'university of dundee': 0.004878514751009793, 'idaho national laboratory': 0.0002581512463894782, 'university of rostock': 0.00038300501705154096, 'university of the western cape': 0.07293365942775033, 'university of coimbra': 0.00030204784318623346, 'universidade aberta': 0.00030204784318623346, 'laval university': 0.00047782636498733077, 'zhejiang university': 0.0022434079902759465, 'open university': 0.0021598823869805424, 'university of nottingham': 0.012615671381795144, 'university of reading': 0.04737063829458227, 'king s college london': 0.11758486341904816, 'zoological society of london': 0.00604598218383448, 'instituto superior tecnico': 0.0003701021960939998, 'tilburg university': 0.00411418521398296, 'united states agency for international development': 0.039586002898439686, 'national institutes of health': 0.07329662971266682, 'eni': 0.002984030489170412, 'university of surrey': 0.016097365087896973, 'kathmandu': 0.031111239676664612, 'federal fluminense university': 0.0031257829385107653, 'council of scientific and industrial research': 0.005745317173180525, 'shahid beheshti university of medical sciences and health services': 2.1251357530469843e-15, 'tehran university of medical sciences': 4.364100587546077e-15, 'hobart corporation': 0.010547707053965995, 'jimma university': 9.849897441435239e-05, 'universidad michoacana de san nicolas de hidalgo': 0.0007377315122987114, 'national autonomous university of mexico': 0.01956535881753494, 'tulane university': 0.019168722201200642, 'great lakes university': 0.002020637685361607, 'university of nairobi': 0.0535217843169163, 'ziauddin university': 9.791405935568569e-05, 'pakistan institute of medical sciences': 0.0025972751826282663, 'cardiff university': 0.0016830671148789955, 'university of malawi': 0.04217640534427322, 'university of namibia': 0.002606061270430847, 'university of lagos': 0.00564689154080186, 'all india institute of medical sciences': 0.006827163118658236, 'north carolina state university': 0.007498150700631039, 'university of north carolina at chapel hill': 0.08735164613370407, 'centers for disease control and prevention': 0.06034685665219802, 'university of exeter': 0.03179752557070538, 'university of limpopo': 0.005251549773659862, 'save the children': 0.11947059311116061, 'university of lethbridge': 0.004108362867445489, 'university of papua new guinea': 0.005023923529256554, 'royal children s hospital': 0.03906614101680815, 'university of brighton': 8.908325072181527e-18, 'university of south australia': 0.00040981803854102985, 'humboldt university of berlin': 0.0036757015113597627, 'leibniz association': 0.0009277714252526435, 'university of zambia': 0.03495005887721208, 'george washington university': 0.0149225394721412, 'st george s hospital': 0.004433200254380849, 'university of wollongong': 0.012110880248989174, 'nyenrode business university': 0.0016117428322963742, 'economic policy institute': 0.013546318799036908, 'ben gurion university of the negev': 1.0603919050306412e-16, 'university of haifa': 1.499620613515119e-16, 'vancouver island university': 0.00047782636498733077, 'ifakara health institute': 0.03138609600095574, 'beijing institute of technology': 0.0003991926982879924, 'pacific northwest national laboratory': 0.0002581512463894782, 'university of michigan': 0.062253673253540406, 'university of tasmania': 0.009034339800053576, 'international union for conservation of nature and natural resources': 0.011247451447062464, 'university of western sydney': 0.004907513024968869, 'international centre for diarrhoeal disease research bangladesh': 0.06879577031729571, 'university of cambridge': 0.05728834489612527, 'national research council': 0.00116624169355082, 'pompeu fabra university': 0.0010423130736945585, 'university of barcelona': 0.027646737591351635, 'university college london': 0.14977942724349086, 'vanderbilt university': 0.039797072587702445, 'american university': 0.007155484643216401, 'university of california san francisco': 0.1066102882701904, 'american museum of natural history': 0.000540032138029908, 'university of kassel': 0.002795836959211616, 'stockholm environment institute': 0.03209140348438958, 'royal institute of technology': 0.01774304476011456, 'blekinge institute of technology': 0.002071004358614809, 'university of guelph': 0.0019148912371700479, 'university of minho': 0.00021373376569151824, 'university of johannesburg': 0.0015362931581357484, 'universiti teknologi malaysia': 0.0007196407463691093, 'university of warwick': 0.02351615681285157, 'university of rome tor vergata': 0.003411213197276264, 'university of salzburg': 8.908325072181527e-18, 'research studios austria': 8.908325072181527e-18, 'boston university': 0.026591226934644573, 'maastricht university': 0.002353732920498258, 'university of khartoum': 8.908325072181527e-18, 'tshwane university of technology': 0.015766975109003222, 'university of los andes': 0.0028569030218848898, 'liverpool school of tropical medicine': 0.061934665376851585, 'university of aberdeen': 0.029826458250818567, 'radboud university nijmegen': 8.873975320989001e-05, 'fhi 360': 0.0071447634111327036, 'federal ministry of health': 0.021370975332481543, 'joint united nations programme on hiv aids': 0.031198672923564454, 'plymouth state university': 0.004254543003226895, 'university health network': 0.005227895966119841, 'institut de recherche pour le developpement': 0.011370928728986545, 'norwegian university of life sciences': 0.0010541365140047207, 'gembloux agro bio tech': 7.893341890206685e-05, 'united states department of agriculture': 0.025144714279723625, 'london school of economics and political science': 0.01849037457239805, 'macquarie university': 0.00014812072918143397, 'edith cowan university': 0.0039283168268507895, 'georgetown university': 0.016965025977753373, 'wake forest university': 0.00564689154080186, 'bill melinda gates foundation': 0.09070493512372978, 'university of massachusetts boston': 8.908325072181527e-18, 'san francisco state university': 8.908325072181527e-18, 'john snow inc': 0.016728149943220142, 'population council': 8.908325072181527e-18, 'ryerson university': 0.0025156646198243684, 'flinders university': 0.008472823023717135, 'australian museum': 0.007143424035242076, 'beijing normal university': 0.005231915118310891, 'university of rhode island': 0.030638183408394453, 'duke university': 0.1115311881296135, 'de la salle university': 2.3495454263244225e-06, 'national and kapodistrian university of athens': 0.01073466611220216, 'michigan state university': 0.028746845047074282, 'university of delhi': 0.0020080227554239607, 'university of basel': 0.014324724927281717, 'swiss tropical and public health institute': 0.04165316798624256, 'university of washington': 0.17886830445193702, 'baylor college of medicine': 0.00953474845394824, 'universiti tunku abdul rahman': 1.9640910728817476e-05, 'world institute for development economics research': 0.00018460787611516223, 'universidade federal do rio grande do sul': 8.908325072181527e-18, 'university of chicago': 0.013228668156904468, 'birdlife international': 0.006594398403845524, 'conservation international': 0.052985669710225315, 'universite de montreal': 0.0012152847414048603, 'university of malaya': 0.0005202367347548404, 'mcmaster university': 0.01436708296912738, 'max planck society': 0.043887263040292, 'university of st gallen': 8.908325072181527e-18, 'mbarara university of science and technology': 0.00309246741920417, 'university of toulouse': 0.00041165745913933317, 'katholieke universiteit leuven': 0.002090937785737705, 'khalifa university': 2.6006007484232784e-15, 'umea centre for global health research': 0.005745317173180525, 'pan american health organization': 0.027299977900927256, 'international livestock research institute': 0.023026638102348975, 'wellcome trust': 0.04021376314872802, 'university of ottawa': 0.015251034341465703, 'university of the philippines manila': 0.010145037567465043, 'university of nottingham malaysia campus': 6.230705635282815e-05, 'uganda christian university': 0.003214839476320984, 'islamic azad university': 3.010380439417553e-15, 'lund university': 0.05493190797798586, 'world wide fund for nature': 0.011862068784553188, 'rockefeller foundation': 0.02102648284434133, 'university of chile': 0.0034065347168490785, 'indian ministry of environment and forests': 0.002017766191087953, 'queen mary university of london': 0.048292401303743626, 'university of gottingen': 0.009805376707372087, 'north china electric power university': 0.00011600211567280311, 'ministry of health and social services': 0.010145037567465043, 'university of bath': 0.010145037567465043, 'rothamsted research': 0.014576944369001931, 'charles darwin university': 8.908325072181527e-18, 'university of science and technology beijing': 0.00047782636498733077, 'university of california los angeles': 0.016932216765359605, 'university of south florida': 0.019087379698899263, 'university of granada': 1.499620613515119e-16, 'university of la rioja': 1.0603919050306412e-16, 'mahidol university': 0.03160130270824905, 'university of cincinnati': 0.00019365730947625963, 'university of georgia': 0.0027947693050343362, 'ministry of health and family welfare': 0.02925135298336858, 'queen s university': 0.00027974181950758247, 'jhpiego': 0.009023684633735598, 'kwame nkrumah university of science and technology': 0.008462904862580568, 'washington state university': 0.032579505778931116, 'university of oklahoma': 8.908325072181527e-18, 'georgetown university law center': 0.00944894177564968, 'mid sweden university': 0.0020217444592100435, 'sodertorn university': 0.0006690227334351584, 'leiden university': 0.0002680644067977014, 'university of adelaide': 0.006176885526241971, 'institute of tropical medicine antwerp': 0.05844270642298218, 'norwegian institute of public health': 0.016126697657576558, 'university of pamplona': 8.908325072181527e-18, 'escuela colombiana de ingenieria': 8.908325072181527e-18, 'eduardo mondlane university': 0.009139187003007539, 'overseas development institute': 0.010918888741695788, 'uppsala university': 0.007835109824015607, 'la trobe university': 0.029200172660233784, 'free university of brussels': 0.002090937785737705, 'umea university': 0.05139798549380698, 'san diego state university': 0.030680222836905618, 'mediterranea university of reggio calabria': 0.0011568374438428745, 'university of edinburgh': 0.09864287763708396, 'peking university': 0.0758373797905324, 'sao paulo state university': 0.0018059982043723778, 'university of alicante': 8.908325072181527e-18, 'universidad autonoma de yucatan': 8.908325072181527e-18, 'public health foundation of india': 0.06162068805167392, 'icahn school of medicine at mount sinai': 0.02172579436463856, 'murdoch university': 0.002003098158009831, 'national oceanic and atmospheric administration': 0.03943154868352282, 'centre for the aids programme of research in south africa': 0.02760838582560448, 'university of kwazulu natal': 0.04068000092617374, 'obafemi awolowo university': 0.00016738354940435272, 'empresa brasileira de pesquisa agropecuaria': 0.0009975280166588745, 'federal university of para': 3.7610112547069504e-05, 'university of split': 0.02516529831869634, 'university of zagreb': 0.0009487190676923842, 'royal tropical institute': 0.004029397722849616, 'kenya medical research institute': 0.022507495456597505, 'chinese center for disease control and prevention': 0.024951974926728654, 'supagro': 0.00020493868556259857, 'china university of geosciences': 0.002863130587779704, 'great zimbabwe university': 0.0002679413168746359, 'university of health and allied sciences': 0.00130878652120458, 'national university of malaysia': 1.9640910728817476e-05, 'kassala university': 8.908325072181527e-18, 'bournemouth university': 1.0603919050306412e-16, 'university of otago': 0.024984179649536125, 'depaul university': 0.003922731239354325, 'universiti sains malaysia': 1.961299791598469e-05, 'university of aveiro': 0.00039430070900921683, 'college of health sciences bahrain': 0.03532621215573755, 'university of liverpool': 0.04137749562079603, 'jilin university': 0.001159473413829484, 'hanoi school of public health': 0.00035100002689953085, 'john radcliffe hospital': 0.0063724821562282825, 'university of maryland baltimore': 0.04750300413487856, 'university of calgary': 0.00014356565231086067, 'fudan university': 0.007660819745960623, 'helmholtz centre for environmental research ufz': 0.015164566118152527, 'university of western australia': 0.009533094726011843, 'clark university': 0.0013762206731042928, 'university of szczecin': 8.908325072181527e-18, 'university of florida': 0.07541030997853707, 'partners in health': 0.02820367365393796, 'trinity college': 0.012651702116860675, 'ludwig maximilian university of munich': 0.0020981282593649795, 'global forum for health research': 0.009023684633735598, 'guttmacher institute': 0.010145037567465043, 'royal veterinary college': 0.02165445840217202, 'bayero university kano': 8.908325072181527e-18, 'world heart federation': 0.003142167536505864, 'state university of campinas': 0.024802434919021524, 'universite catholique de louvain': 0.004229918090940158, 'university of houston': 0.0013762206731042928, 'finnish environment institute': 0.00028386808882098746, 'rand corporation': 0.014949055707063136, 'university of bordeaux': 0.00027320955265192434, 'autonomous university of barcelona': 0.001057879278247816, 'university of turin': 4.398517637020056e-05, 'universidade federal de santa maria': 8.908325072181527e-18, 'morgan state university': 4.810699585260357e-05, 'universidade federal de pelotas': 0.037848804926037365, 'netherlands environmental assessment agency': 0.029611318591742108, 'potsdam institute for climate impact research': 0.035990795282717904, 'graduate institute of international and development studies': 0.01073466611220216, 'university of waterloo': 0.007419673215227303, 'international institute for environment and development': 0.004558198614182747, 'paris descartes university': 0.010145037567465043, 'democritus university of thrace': 7.921662009701389e-05, 'international vaccine institute': 0.004547918405657652, 'unesco ihe institute for water education': 0.0032671831251789712, 'james hutton institute': 0.0017860473318056236, 'st george s university of london': 0.0004756760038329812, 'maastricht graduate school of governance': 0.00041598890834763767, 'bayer': 0.002059930207952085, 'medecins sans frontieres': 0.011873211139599412, 'international union against tuberculosis and lung disease': 0.030200125433099693, 'university of southern mississippi': 8.908325072181527e-18, 'dartmouth college': 0.018162871636743134, 'bangor university': 0.00335868661331057, 'university of the west of england': 0.011606651909351373, 'university of alcala': 0.007495942188150825, 'washington university in st louis': 0.0021598823869805424, 'inter american development bank': 0.0006383526680636294, 'tokyo institute of technology': 0.003421424119822572, 'university of sheffield': 0.007654914296225821, 'carnegie mellon university': 0.0041670628777305515, 'tata institute of social sciences': 2.6006007484232784e-15, 'international institute for population sciences': 2.6006007484232784e-15, 'indian institute of technology roorkee': 2.6006007484232784e-15, 'cayetano heredia university': 0.03522635457075084, 'kyushu university': 0.0007032054297164552, 'world vision international': 0.0011832678788245513, 'university of essex': 0.010145037567465043, 'national institute for medical research': 0.02211076552924576, 'research triangle park': 0.007269206089803693, 'versailles saint quentin en yvelines university': 0.0004287550524262166, 'heriot watt university': 7.404617147840366e-07, 'university of bradford': 8.908325072181527e-18, 'coventry university': 8.908325072181527e-18, 'st michael s hospital': 0.005227895966119841, 'charles university in prague': 8.908325072181527e-18, 'linkoping university': 6.247658125773753e-05, 'rice university': 0.0030360919528153777, 'dalhousie university': 0.00380219532712189, 'joint global change research institute': 0.0042220831860407095, 'university of valencia': 0.002068762365250736, 'university of newcastle': 7.802677012458069e-05, 'unesco': 0.00024845931010425377, 'university of pittsburgh': 0.014714527444912313, 'university of the philippines': 0.034064170680569814, 'university of porto': 0.00028566361437103047, 'punjabi university': 8.908325072181527e-18, 'heidelberg university': 0.029522315802720887, 'norwegian institute for air research': 0.0020981282593649795, 'oswaldo cruz foundation': 0.008585311176763642, 'american public health association': 0.0013317744631742847, 'american university of beirut': 0.009023684633735598, 'martin luther university of halle wittenberg': 0.009133010933835384, 'jomo kenyatta university of agriculture and technology': 0.0008485666204206666, 'university of western ontario': 0.004076523659441826, 'national institute on drug abuse': 0.0027632698862628253, 'university of osnabruck': 4.8249590218263144e-05, 'york university': 1.8906246362802565e-06, 'oko institut': 1.8906246362802565e-06, 'food and environment research agency': 0.002420337635741928, 'kansas state university': 0.0003200878873965168, 'sheffield hallam university': 0.012153060322889004, 'national university of rwanda': 0.02694902856736407, 'international institute for sustainable development': 8.908325072181527e-18, 'south china agricultural university': 0.001159473413829484, 'university of the free state': 0.014150433759357603, 'national center for atmospheric research': 0.008941731490034818, 'technion israel institute of technology': 1.0603919050306412e-16, 'environmental defense fund': 0.0005080541522358037, 'indian institute of technology guwahati': 1.4580402778916617e-05, 'walchand institute of technology': 1.4580402778916617e-05, 'manhattan college': 8.908325072181527e-18, 'university of connecticut': 0.04233283601813094, 'instituto politecnico nacional': 8.058908515449132e-06, 'university of the algarve': 0.00027436975027021846, 'university of science and technology sana a': 8.908325072181527e-18, 'stockholm international water institute': 1.556620455325752e-05, 'university of vermont': 0.003196708797569278, 'federal university of sao carlos': 0.0018059982043723778, 'university of york': 0.035024923779087155, 'university of geneva': 0.020879703679667204, 'college of the north atlantic': 4.398517637020056e-05, 'uganda virus research institute': 0.003304594622264861, 'university of gloucestershire': 0.0015704283499392148, 'university of cordoba': 0.00041165745913933317, 'brac university': 0.04197770559137837, 'newcastle university': 0.0061391499362093, 'charles sturt university': 0.000940318277282081, 'bangladesh centre for advanced studies': 0.00017185623597332442, 'ithaca college': 0.009023684633735598, 'masaryk university': 0.00013677118852862524, 'north west university': 0.009131956481602218, 'denver federal center': 0.0003712724075209139, 'manchester metropolitan university': 1.423348654060749e-06, 'michigan technological university': 0.0002581512463894782, 'united nations office on drugs and crime': 0.007290749114186431, 'world food programme': 0.017950980748793758, 'aberystwyth university': 0.0011988042263300276, 'international center for tropical agriculture': 0.03156958346632342, 'ansaldo sts': 8.908325072181527e-18, 'enea': 8.908325072181527e-18, 'simon fraser university': 0.0019385589759221477, 'kaduna state university': 0.00028566361437103047, 'swiss federal institute of aquatic science and technology': 0.000540032138029908, 'graz university of technology': 0.0036439389428106796, 'university of manitoba': 0.010145037567465043, 'university of kiel': 0.0011837397670768715, 'kiel institute for the world economy': 0.0018764098258468452, 'northwest university': 0.005145892541142239, 'university of belgrade': 1.499620613515119e-16, 'the chinese university of hong kong': 0.024759737898547986, 'university of hong kong': 0.00753460883554301, 'university of regina': 0.0030769273024270857, 'children s hospital at westmead': 0.0026113487153181535, 'assiut university': 0.004019257110397814, 'university of bristol': 0.03877016693701114, 'seattle children s': 0.006743670059115713, 'university of dar es salaam': 0.0015703144815516997, 'keio university': 0.0036334872915064174, 'vilnius gediminas technical university': 8.908325072181527e-18, 'pedagogical university': 8.908325072181527e-18, 'hanyang university': 4.5709804614044106e-05, 'medical college of wisconsin': 0.004204983523168872, 'council for scientific and industrial research': 0.010543395568734314, 'new york blood center': 0.008145131681358784, 'karolinska university hospital': 0.006365438343904303, 'national chin yi university of technology': 8.908325072181527e-18, 'chaoyang university of technology': 8.908325072181527e-18, 'dalle molle institute for artificial intelligence research': 0.002059930207952085, 'burnet institute': 0.018956738649552916, 'university of saskatchewan': 0.003796781839934244, 'mcgill university health centre': 0.0012152847414048603, 'university of buenos aires': 0.0001701083437139122, 'lancaster university': 0.01969425027051692, 'hampton university': 0.00036222472516776093, 'world conservation monitoring centre': 0.0023202845433039875, 'royal swedish academy of sciences': 0.002305405527932006, 'mental health services': 0.0018059982043723778, 'east carolina university': 0.018978897583695836, 'atlantic oceanographic and meteorological laboratory': 0.0015722690837907324, 'qimr berghofer medical research institute': 0.001328021816675559, 'federal university of bahia': 0.007402573796592257, 'auckland university of technology': 0.0034254351658631124, 'national university of ireland galway': 0.00047696678424338123, 'city college of new york': 0.0012759186144692374, 'rio de janeiro state university': 0.0021296730474242584, 'research institute of organic agriculture': 0.002059930207952085, 'asm clermont auvergne': 0.00027320955265192434, 'china agricultural university': 0.0037188123004673725, 'nationwide children s hospital': 0.009023684633735598, 'sokoine university of agriculture': 0.0019663528247912555, 'university of port harcourt': 1.0603919050306412e-16, 'international medical corps': 0.009023684633735598, 'government of south africa': 0.01073466611220216, 'swinburne university of technology': 0.005023923529256554, 'cooperative research centre': 0.001262957074544665, 'university of leicester': 0.0016570215755547344, 'beijing forestry university': 0.001159473413829484, 'bocconi university': 0.014254837703615256, 'city university of new york': 8.908325072181527e-18, 'columbia university medical center': 0.004522634165301311, 'university of nigeria nsukka': 1.499620613515119e-16, 'the global fund to fight aids tuberculosis and malaria': 0.010145037567465043, 'tarbiat modares university': 2.294841955532903e-15, 'university of liege': 0.0020938050378740917, 'university of strathclyde': 0.0018644421703697058, 'southern cross university': 0.0015154987725451968, 'university of bologna': 0.00019730347329275952, 'federal reserve bank of new york': 0.007269206089803693, 'ottawa hospital research institute': 0.0005749623809439151, 'millennium institute': 0.0008441131397167469, 'ikerbasque': 8.908325072181527e-18, 'energy institute': 8.908325072181527e-18, 'czech university of life sciences prague': 0.0017737163989614846, 'tel aviv university': 0.0010423130736945585, 'tallinn university of technology': 8.908325072181527e-18, 'march of dimes': 0.01073466611220216, 'cgiar': 0.02535421655661895, 'glenville state college': 8.908325072181527e-18, 'pacific institute': 0.006213469008214262, 'konkuk university': 1.3271950040584829e-05, 'health alliance international': 0.006743670059115713, 'nagoya university': 0.0033529948481947564, 'ucl institute of child health': 0.019758350745937753, 'goddard institute for space studies': 0.007269206089803693, 'university of hull': 0.003453343734446068, 'world resources institute': 0.012189250449642818, 'australian catholic university': 0.0005551560515083746, 'national water and sewerage corporation': 0.0028432486196973165, 'international development research centre': 0.009139187003007539, 'environment agency': 0.004398407243187306, 'university of texas at el paso': 0.00018432408121228357, 'addis continental institute of public health': 0.0017990495668310173, 'university of lorraine': 0.00027320955265192434, 'game wildlife conservation trust': 0.0034072566931136017, 'rutgers university': 0.055540816041332375, 'university at buffalo': 0.0035636809977990487, 'university of the west indies': 0.007018734509653174, 'national defense university': 8.908325072181527e-18, 'university of gondar': 0.0026127419811205824, 'national health service': 0.010145037567465043, 'university of ontario institute of technology': 0.00047782636498733077, 'health services academy': 0.004547918405657652, 'aston university': 0.002054255006030874, 'jawaharlal nehru medical college aligarh': 0.002995848941743445, 'university of mataram': 0.0033529948481947564, 'princess margaret cancer centre': 0.005227895966119841, 'intermountain healthcare': 0.009139187003007539, 'indian institute of technology bombay': 0.0007032054297164552, 'free university of berlin': 0.0039283168268507895, 'hanoi university': 0.010900236024234698, 'masdar institute of science and technology': 0.0007032054297164552, 'aga khan university hospital': 0.009023684633735598, 'islamic azad university of karaj': 1.4673110797770669e-15, 'walter sisulu university': 0.0005335038213114445, 'university for development studies': 0.0012594435326877147, 'pace university': 0.0039283168268507895, 'touro college': 0.00014812072918143397, 'gyeongsang national university': 1.3271950040584829e-05, 'hebei normal university': 0.00019730347329275952, 'bioversity international': 0.04189547350149576, 'bahir dar university': 0.0017005505924166647, 'liverpool john moores university': 1.499620613515119e-16, 'university of rajshahi': 0.00039511644855218383, 'national institute for space research': 0.002802108095458885, 'johns hopkins university school of medicine': 0.01223852411005658, 'indian institutes of technology': 1.4030701430487123e-05, 'marie stopes international': 0.01073466611220216, 'health effects institute': 0.010145037567465043, 'university of denver': 0.003922731239354325, 'instituto de salud carlos iii': 8.908325072181527e-18, 'maastricht university medical centre': 8.873975320989001e-05, 'iran university of medical sciences': 2.1251357530469843e-15, 'indian council of agricultural research': 8.908325072181527e-18, 'university of cape coast': 0.00130878652120458, 'european commission': 0.0020217444592100435, 'university of palermo': 7.802677012458069e-05, 'hanoi medical university': 0.008606134367034684, 'national dong hwa university': 0.00027974181950758247, 'observer research foundation': 8.908325072181527e-18, 'university of insubria': 1.0603919050306412e-16, 'chongqing university': 8.908325072181527e-18, 'vanderbilt university medical center': 0.011741015781687087, 'seoul national university hospital': 0.00035100002689953085, 'chinhoyi university of technology': 8.908325072181527e-18, 'public health england': 0.003421424119822572, 'colorado school of mines': 0.0022868894271191507, 'massachusetts eye and ear infirmary': 0.018113929894593584, 'northumbria university': 0.030638183408394457, 'trent university': 0.002488683098301509, 'cranfield university': 0.002059930207952085, 'children s memorial hospital': 0.03412144421717785, 'university of buea': 0.01073466611220216, 'national yang ming university': 7.617597174135985e-05, 'the george institute for global health': 0.03433649340956694, 'sultan qaboos university': 8.908325072181527e-18, 'helwan university': 8.908325072181527e-18, 'university of valladolid': 1.0603919050306412e-16, 'international center for agricultural research in the dry areas': 0.0105432699220511, 'university of the basque country': 0.0016570215755547344, 'national museum of natural history': 0.0037557051662748136, 'university of atlanta': 0.002017766191087953, 'office of environment and heritage': 0.0022672085610973575, 'saint mary s college of california': 7.77107822561536e-06, 'international hiv aids alliance': 0.0011761820911098187, 'pacific northwest university of health sciences': 0.0012705196188584305, 'mathematica policy research': 0.0041670628777305515, 'prevention institute': 0.0034876795410692485, 'universidad san francisco de quito': 0.0032931671774621665, 'covenant university': 1.0603919050306412e-16, 'fuzhou university': 8.908325072181527e-18, 'world meteorological organization': 0.0017860473318056236, 'capital university of economics and business': 0.00011600211567280311, 'center for excellence in education': 0.001159473413829484, 'university of montpellier': 0.005272900749167999, 'leeds beckett university': 6.247658125773753e-05, 'babol noshirvani university of technology': 8.908325072181527e-18, 'university of east sarajevo': 1.0603919050306412e-16, 'nhtv breda university of applied sciences': 0.0005667007033579748, 'university of south florida st petersburg': 0.002265762483412275, 'national ecological observatory network': 0.0023742488942434035, 'tufts medical center': 0.009139187003007539, 'kazan federal university': 8.908325072181527e-18, 'marine biological association of the united kingdom': 0.0014868289855544347, 'business school lausanne': 8.908325072181527e-18, 'china west normal university': 0.0010839345764464626, 'global biodiversity information facility': 0.007434764950575186, 'florida museum of natural history': 0.007495942188150825, 'africa rice center': 0.002054255006030874, 'autonomous university of madrid': 8.908325072181527e-18, 'state university of new york at fredonia': 0.000434647103326857, 'minzu university of china': 0.00019730347329275952, 'dongguan university of technology': 0.0003133055889655626, 'aurecon': 0.010107969266182593, 'amrita vishwa vidyapeetham': 8.908325072181527e-18, 'etseib': 8.908325072181527e-18, 'university of toledo': 0.018978897583695836, 'suny downstate medical center': 0.01910838555747415, 'st luke s university health network': 0.018978897583695836, 'mercy medical center': 0.018978897583695836, 'summa health system': 0.018978897583695836, 'baba banda singh bahadur engineering college': 8.908325072181527e-18, 'international aids society': 0.010145037567465043, 'green templeton college': 1.961299791598469e-05, 'hamburg university of applied sciences': 1.423348654060749e-06, 'universiti utara malaysia': 7.404617147840366e-07, 'international organization for migration': 0.01073466611220216, 'west pomeranian university of technology': 8.908325072181527e-18}\n"
     ]
    }
   ],
   "source": [
    "dc = nx.degree_centrality(subview)\n",
    "print(dc)\n",
    "ec = nx.eigenvector_centrality(subview)\n",
    "print(ec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from operator import itemgetter\n",
    "from pprint import pprint\n",
    "\n",
    "measure = ec\n",
    "\n",
    "measure_sorted = sorted(measure.items(), key=itemgetter(1), reverse=True)\n",
    "pprint(measure_sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "centralities = []\n",
    "\n",
    "insts = list(ec.keys())\n",
    "\n",
    "with open(\"mag_output_inst/centrality_by_institution.csv\", \"w\") as f:\n",
    "    \n",
    "    writer = csv.DictWriter(f, fieldnames=[\"institution\", \"betweenness\", \"closeness\", \"degree\", \"eigenvector\"])\n",
    "    writer.writeheader()\n",
    "    for i in insts:\n",
    "\n",
    "        data = {\n",
    "            \"institution\": i,\n",
    "            \"betweenness\": bc[i],\n",
    "            \"closeness\": cc[i],\n",
    "            \"degree\": dc[i],\n",
    "            \"eigenvector\": ec[i]\n",
    "        }\n",
    "        writer.writerow(data)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}