Statistical modelling of the group structure of social networks

Aitkin, Murray and Vu, Duy and Francis, Brian (2014) Statistical modelling of the group structure of social networks. Social Networks, 38. pp. 74-87.

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Abstract

This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian model comparison method for the number of latent classes. The approach is applied to a well-known network of women in Natchez Mississippi. The latent class analysis reproduces the group structure of the women identified by the original sociologists.

Item Type:

Journal Article

Journal or Publication Title:

Social Networks

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/3200/3200

Subjects:

?? social groupslatent class modeltwo mode networknatchez womenbayesian model comparisongeneral psychologysociology and political sciencegeneral social sciencesanthropologypsychology(all)social sciences(all) ??

Departments:

Faculty of Science and Technology > Mathematics and Statistics

ID Code:

69104

Deposited By:

ep_importer_pure

Deposited On:

02 Apr 2014 08:43

Refereed?:

Yes

Published?:

Published

Last Modified:

12 May 2025 23:30

URI:

https://eprints.lancs.ac.uk/id/eprint/69104