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betweenness_centrality¶

betweenness_centrality
(G, nodes)[source]¶ Compute betweenness centrality for nodes in a bipartite network.
Betweenness centrality of a node \(v\) is the sum of the fraction of allpairs shortest paths that pass through \(v\).
Values of betweenness are normalized by the maximum possible value which for bipartite graphs is limited by the relative size of the two node sets [R157].
Let \(n\) be the number of nodes in the node set \(U\) and \(m\) be the number of nodes in the node set \(V\), then nodes in \(U\) are normalized by dividing by
\[\frac{1}{2} [m^2 (s + 1)^2 + m (s + 1)(2t  s  1)  t (2s  t + 3)] ,\]where
\[s = (n  1) \div m , t = (n  1) \mod m ,\]and nodes in \(V\) are normalized by dividing by
\[\frac{1}{2} [n^2 (p + 1)^2 + n (p + 1)(2r  p  1)  r (2p  r + 3)] ,\]where,
\[p = (m  1) \div n , r = (m  1) \mod n .\]Parameters: G : graph
A bipartite graph
nodes : list or container
Container with all nodes in one bipartite node set.
Returns: betweenness : dictionary
Dictionary keyed by node with bipartite betweenness centrality as the value.
See also
degree_centrality
,closeness_centrality
,sets
,is_bipartite
Notes
The nodes input parameter must contain all nodes in one bipartite node set, but the dictionary returned contains all nodes from both node sets.
References
[R157] (1, 2) Borgatti, S.P. and Halgin, D. In press. “Analyzing Affiliation Networks”. In Carrington, P. and Scott, J. (eds) The Sage Handbook of Social Network Analysis. Sage Publications. http://www.steveborgatti.com/papers/bhaffiliations.pdf