Session Ready
Exercise

NetworkX betweenness centrality on a social network

Betweenness centrality is a node importance metric that uses information about the shortest paths in a network. It is defined as the fraction of all possible shortest paths between any pair of nodes that pass through the node.

NetworkX provides the nx.betweenness_centrality(G) function for computing the betweenness centrality of every node in a graph, and it returns a dictionary where the keys are the nodes and the values are their betweenness centrality measures.

Instructions
100 XP
  • Compute the betweenness centrality bet_cen of the nodes in the graph T.
  • Compute the degree centrality deg_cen of the nodes in the graph T.
  • Compare betweenness centrality to degree centrality by creating a scatterplot of the two, with list(bet_cen.values()) on the x-axis and list(deg_cen.values()) on the y-axis.