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networkx.betweenness_centrality

betweenness_centrality(G, normalized=True, weighted_edges=False)

Compute betweenness centrality for nodes.

Betweenness centrality of a node is the fraction of all shortest paths that pass through that node.

Parameters:

G : graph

A networkx graph

normalized : bool, optional

If True the betweenness values are normalized by b=b/(n-1)(n-2) where n is the number of nodes in G.

weighted_edges : bool, optional

Consider the edge weights in determining the shortest paths. If False, all edge weights are considered equal.

Returns:

nodes : dictionary

Dictionary of nodes with betweeness centrality as the value.

See also

load_centrality

Notes

The algorithm is from Ulrik Brandes, A Faster Algorithm for Betweenness Centrality. Journal of Mathematical Sociology 25(2):163-177, 2001. http://www.inf.uni-konstanz.de/algo/publications/b-fabc-01.pdf