Structural cohesion and embeddedness in two-mode networks

Benjamin Cornwell and Jake Burchard

The Journal of Mathematical Sociology, 2019, vol. 43, issue 4, 179-194

Abstract: The detection of structural cohesion is a key utility of social network analysis, but little work has been done to refine the detection of structural cohesion in two-mode networks. Most work on cohesion in two-mode networks either: (1) attempts to detect cohesion in such networks using one-mode projections (which can be problematic for reasons we discuss); or (2) focuses on restrictive substructures like bi-cliques to identify cohesive subgroups. We propose a new strategy for two-mode networks that follows the general reasoning of approaches to detecting structural cohesion in one-mode networks. Our approach identifies the number of actors from one node set that may be removed before disconnecting actors in the opposite set. We also develop a definition of embeddedness that draws on Moody and White’s hierarchical nesting approach.

Date: 2019
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DOI: 10.1080/0022250X.2019.1606806

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