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Structural cohesion and embeddedness in two-mode networks

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  • Benjamin Cornwell
  • Jake Burchard

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.

Suggested Citation

  • Benjamin Cornwell & Jake Burchard, 2019. "Structural cohesion and embeddedness in two-mode networks," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 43(4), pages 179-194, October.
    • Handle: RePEc:taf:gmasxx:v:43:y:2019:i:4:p:179-194
    DOI: 10.1080/0022250X.2019.1606806
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    Cited by:

    1. Antwan Jones & Prentiss Dantzler, 2021. "Neighbourhood perceptions and residential mobility," Urban Studies, Urban Studies Journal Limited, vol. 58(9), pages 1792-1810, July.

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