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New specifications for exponential random graph models

Abstract:

The most promising class of statistical models for expressing structural properties of social networks observed at one moment in time is the class of exponential random graph models (ERGMs), also known asp* models. The strong point of these models is that they can represent a variety of structural tendencies, such as transitivity, that define complicated dependence patterns not easily modeled by more basic probability models. Recently, Markov chain Monte Carlo (MCMC) algorithms have been deve...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Pattison, PE More by this author
Robins, GL More by this author
Handcock, MS More by this author
Journal:
SOCIOLOGICAL METHODOLOGY 2006, VOL 36
Volume:
36
Issue:
1
Pages:
99-153
Publication date:
2006
DOI:
EISSN:
1467-9531
ISSN:
0081-1750
URN:
uuid:7cff8478-f019-4a30-8875-eff80bb06cb9
Source identifiers:
97764
Local pid:
pubs:97764
Language:
English

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