Exponential Random Graph Models for Social Networks

Theory, Methods, and Applications

Business & Finance, Human Resources & Personnel Management, Organizational Behavior, Nonfiction, Social & Cultural Studies, Social Science
Cover of the book Exponential Random Graph Models for Social Networks by , Cambridge University Press
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Author: ISBN: 9781139853415
Publisher: Cambridge University Press Publication: November 19, 2012
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781139853415
Publisher: Cambridge University Press
Publication: November 19, 2012
Imprint: Cambridge University Press
Language: English

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.

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Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.

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