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Statistical Analysis of Multiple Sociometric Relations

Fienberg, Stephen E., Meyer, Michael M., Wasserman, Stanley S.·1985·Journal of the American Statistical Association

Abstract

Loglinear models are adapted for the analysis of multivariate social networks, a set of sociometric relations among a group of actors. Models that focus on the similarities and differences between the relations and models that concentrate on individual actors are discussed. This approach allows for the partitioning of the actors into blocks or subgroups. Some ideas for combining these models are described, and the various models and computational methods are applied to the analysis of data for a corporate interlock network of the 25 largest organizations in Minneapolis/St. Paul and for a classic network of 18 monks in a cloister. The computational techniques all involve variations on the standard iterative proportional-fitting algorithm used extensively in the analysis of multidimensional contingency tables.

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Metadata

Authors
Fienberg, S. E., Meyer, M. M., & Wasserman, S. S.
Venue
Journal of the American Statistical Association
Published
1985-03
Volume
80
Issue
389
Pages
51-67
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2044808496
Cited by
289
References
0
FWCI
5.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Statistical Analysis of Multiple Sociometric Relations. https://app.cochat.ai/papers/10.1080/01621459.1985.10477129
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Fienberg, S. E., Meyer, M. M., & Wasserman, S. S. (1985). Statistical Analysis of Multiple Sociometric Relations. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1985.10477129

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