brainconn.centrality.betweenness_bin

betweenness_bin(G)[source]

Node betweenness centrality is the fraction of all shortest paths in the network that contain a given node. Nodes with high values of betweenness centrality participate in a large number of shortest paths.

Parameters:
  • A (NxN numpy.ndarray) – binary directed/undirected connection 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.betweenness_bin