Identifying key players in bipartite networks

Scott W. Duxbury

Network Science, 2020, vol. 8, issue 1, 42-61

Abstract: Measures of bipartite network structure have recently gained attention from network scholars. However, there is currently no measure for identifying key players in two-mode networks. This article proposes measures for identifying key players in bipartite networks. It focuses on two measures: fragmentation and cohesion centrality. It extends the centrality measures to bipartite networks by considering (1) cohesion and fragmentation centrality within a one-mode projection, (2) cross-modal cohesion and fragmentation centrality, where a node in one mode is influential in the one-mode projection of the other mode, and (3) cohesion and fragmentation centrality across the entire bipartite structure. Empirical examples are provided for the Southern Women’s data and on the Ndrangheta mafia data.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:cup:netsci:v:8:y:2020:i:1:p:42-61_2

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