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Cited by 257

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A dynamic model for social networks†

Holland, Paul W., Leinhardt, Samuel·1977·The Journal of Mathematical Sociology

Abstract

A continuous‐time binary‐matrix‐valued Markov chain is used to model the process by which social structure effects individual behavior. The model is developed in the context of sociometric networks of interpersonal affect. By viewing the network as a time‐dependent stochastic process it is possible to construct transition intensity equations for the probability that choices between group members will change. These equations can contain parameters for structural effects. Empirical estimates of the parameters can be interpreted as measures of structural tendencies. Some elementary processes are described and the application of the model to cross‐sectional data is explained in terms of the steady state solution to the process.

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Metadata

Authors
Holland, P. W., & Leinhardt, S.
Venue
The Journal of Mathematical Sociology
Published
1977-01
Volume
5
Issue
1
Pages
5-20
ISSN
  • 0022-250X (ISSN-L)
  • 1545-5874
OpenAlex
W2023141044
Cited by
257
References
0
FWCI
7.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A dynamic model for social networks†. https://app.cochat.ai/papers/10.1080/0022250x.1977.9989862
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Holland, P. W., & Leinhardt, S. (1977). A dynamic model for social networks†. The Journal of Mathematical Sociology. https://doi.org/10.1080/0022250x.1977.9989862

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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.