brainconn.centrality.edge_betweenness_bin

edge_betweenness_bin(G)

Edge betweenness centrality is the fraction of all shortest paths in the network that contain a given edge. Edges with high values of betweenness centrality participate in a large number of shortest paths.

Parameters:A (NxN numpy.ndarray) – binary directed/undirected connection matrix Returns:

• EBC (NxN numpy.ndarray) – edge betweenness centrality matrix
• BC (Nx1 numpy.ndarray) – node betweenness centrality vector

Notes

Betweenness centrality may be normalised to the range [0,1] as BC/[(N-1)(N-2)], where N is the number of nodes in the network.

Examples using brainconn.centrality.edge_betweenness_bin

Calculate centrality measures