Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and "p.".

Wasserman, Stanley; Pattison, Philippa

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Peer reviewed

ERIC Number: EJ535127

Record Type: Journal

Publication Date: 1996

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

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Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and "p."

Wasserman, Stanley; Pattison, Philippa

Psychometrika, v61 n3 p401-25 Sep 1996

The Markov random graphs of O. Frank and D. Strauss (1986) and the estimation strategy for these models developed by Strauss and M. Ikeda (1990) are promising contributions. This paper describes a large class of models that can be used to investigate structure in social networks and illustrates their use. (SLD)

Descriptors: Data Analysis, Estimation (Mathematics), Graphs, Markov Processes, Mathematical Models, Networks, Regression (Statistics), Social Support Groups

Publication Type: Reports - Evaluative; Speeches/Meeting Papers; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

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Author Affiliations: N/A