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A comparison of various specifications of the Exponential Random Graph Model: A reanalysis of 102 student networks in school classes

Abstract:

This paper describes an empirical comparison of four specifications of the exponential family of random graph models (ERGM), distinguished by model specification (dyadic independence, Markov, partial conditional dependence) and, for the Markov model, by estimation method (Maximum Pseudolikelihood, Maximum Likelihood). This was done by reanalyzing 102 student networks in 57 junior high school classes. At the level of all classes combined, earlier substantive conclusions were supported by all s...

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Institution:
University of Oxford
Department:
Politics and Int Relations
Miranda J. Lubbers More by this author
Publisher:
Elsevier
Journal:
Social Networks
Volume:
Vol. 29, 4
Pages:
489-507
Publication date:
2007-04-17
URN:
uuid:9d441bfe-7811-46c6-a625-b797168feb7e
Source identifiers:
291
Local pid:
daisy:291

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