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Cited by 490

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

A Method for Detecting Structure in Sociometric Data

Holland, Paul W., Leinhardt, Samuel·1970·American Journal of Sociology

Abstract

The authors focus on developing standardized measures for models of structure in interpersonal relations. A theorem is presented which yields expectations and variances for measures based on triads. Random models for these measures are discussed and the procedure is carried out for a model of a partial order. This model contains as special cases a number of previously suggested models, including the structural balance model of Cartwright and Harary, Davis's clustering model, and the ranked-clusters model of Davis and Leinhardt. In an illustrative exmaple, eight sociograms are analyzed and the general model is compared with the special case of ranked clusters.

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Metadata

Authors
Holland, P. W., & Leinhardt, S.
Venue
American Journal of Sociology
Published
1970-11
Volume
76
Issue
3
Pages
492-513
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2074724691
Cited by
490
References
11
FWCI
7.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Method for Detecting Structure in Sociometric Data. https://app.cochat.ai/papers/10.1086/224954
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Holland, P. W., & Leinhardt, S. (1970). A Method for Detecting Structure in Sociometric Data. American Journal of Sociology. https://doi.org/10.1086/224954

Data sources

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.