Graph Example 8 for How to Create Effective Network Data Visualization
This example shows how to use JSNetworkX to calculate a few simple network analysis statistics on the graph, and adjust the size and color of nodes based on those statistics. The statistics calculated are:
Eigenvector centrality - Showing how well connected nodes are to well-connected nodes.
Clustering - Whether the nodes connected to a node are themselves connected to each other.
Betweenness - Highlighting nodes that are on the greatest number of shortest paths in the network.