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