The graphs represent the entire SEP each year, with the most significant or "influential" nodes represented below the graph.
Below is a collection of community graphs from the spring 2018 archive of the SEP.
The community detection algorithm used here is the Louvain Community Detection algorithm in the
igraph R package. The algorithm has identified 11 distinct communities in the SEP data.
No additional information (beyond the network structure) was added to the community detection algorithm, and then the community labels were added posthoc based on the "influential" nodes in the subgraphs.
Click to interact with the graphs. Zoom, pan, and hover on nodes for more info.