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For CADRE fellowship project Mapping Collaborations and Partnerships in SDG Research

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MCAP

For CADRE fellowship project Mapping Collaborations and Partnerships in SDG Research. Binder

Data Arrangement

TBD

Code Summary

TBD

Graphs

One of the outputs of the code in MAG Institutional Network Graph (CADRE).ipynb is a Python NetworkX object G containing nodes and edges representing institutions involved with SDG research, and the connections between them. These connections were derived from co-authorships happening across the SDG literature found in MAG. Any two institutions affiliated with a pair of co-authors is represented in the graph by an edge. All graphs are limited to repeat collaborations, that is connections between institutions that occured more than once; or in graphical terms have an edge value of greater than 1.

In the course of our study of SDG collaboration, we produced an array of network visualizations described below.

Institutional

  • All graph components, nodes colored by continent. See graph
  • Largest connected component, nodes colore by modularity class. See graph
  • Only modularity class 2; Highlighting prominence of regional connections. See graph
  • Largest connected component, 1999–2008, nodes colored by continent. See graph
  • Highlighting the 20 institutions with the highest degree, nodes colored by continent. See graph
  • Highlighting the 20 institutions with the highest degree, 2009–2018, nodes colored by continent. See graph

Author

  • All graph components See graph
  • Largest connected components, nodes colored by modularity class. See graph

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For CADRE fellowship project Mapping Collaborations and Partnerships in SDG Research

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  • Jupyter Notebook 95.1%
  • Python 4.9%