Exponential random graph models for social networks: theory, methods, and applications

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 ER...

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Weitere Verfasser: Lusher, Dean (HerausgeberIn), Koskinen, Johan (HerausgeberIn), Robins, Garry (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2013
Schriftenreihe:Structural analysis in the social sciences 35
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Zusammenfassung: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
Beschreibung:1 Online-Ressource (xxii, 336 Seiten) Illustrationen, Diagramme
ISBN:9780511894701
DOI:10.1017/CBO9780511894701

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