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An Input-Output Approach to Clique Identification
Abstract
Interpersonal links in sociometric structures are interpreted as inputoutput channels for the transmission of influence. Magnitudes of influence flow generate objective indices of cohesiveness, which serve as the basis for the identification of cliques. This stands in contrast to the factor-analytic rationale of similarity of incoming and outgoing choice patterns. The model departs from the classical sociometric tradition by permitting links to have fractional and/or negative strength, and by taking simultaneous account of direct and indirect linkages. The cohesiveness index is useful for inter-group and diachronic comparisons of structures.
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Citations
Cited by
Borgatti, S. P. (2005) · Social Networks · doi:10.1016/j.socnet.2004.11.008 · Cited by 3,191
The Network of Global Corporate Control
Vitali, S., Glattfelder, J. B., & Battiston, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025995 · Cited by 827
Pardalos, P. M., & Xue, J. (1994) · Journal of Global Optimization · doi:10.1007/bf01098364 · Cited by 382
Friendship Among the French Financial Elite
Kadushin, C. (1995) · American Sociological Review · doi:10.2307/2096384 · Cited by 288
Everton, S. F. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139136877 · Cited by 277
Metadata
- Authors
- Hubbell, C. H.
- Venue
- Sociometry
- Publisher
- JSTOR
- Published
- 1965-12
- Volume
- 28
- Issue
- 4
- Pages
- 377
- ISSN
- 0038-0431 (ISSN-L)
- OpenAlex
- W1809658417
- Cited by
- 342
- References
- 0
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An Input-Output Approach to Clique Identification. https://app.cochat.ai/papers/10.2307/2785990
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- Hubbell, C. H. (1965). An Input-Output Approach to Clique Identification. Sociometry. https://doi.org/10.2307/2785990
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
