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Compute betweenness centrality for nodes in a bipartite network.
Betweenness centrality of a node is the sum of the fraction of all-pairs shortest paths that pass through .
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 .
Let be the number of nodes in the node set and be the number of nodes in the node set , then nodes in are normalized by dividing by
and nodes in are normalized by dividing by
- G (graph) – A bipartite graph
- nodes (list or container) – Container with all nodes in one bipartite node set.
betweenness – Dictionary keyed by node with bipartite betweenness centrality as the value.
The nodes input parameter must contain all nodes in one bipartite node set, but the dictionary returned contains all nodes from both node sets.
 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