Publication Type

Book Chapter

Publication Date

12-2012

Abstract

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.

Keywords

Social networks

Discipline

Sociology

Research Areas

Sociology

Publication

Exponential Random Graph Models for Social Networks: Theories, Methods and Applications

Editor

Lusher, Dean; Koskinen, Johan; Robins, Garry

First Page

260

Last Page

271

ISBN

9780521141383

Publisher

Cambridge University Press

City or Country

Cambridge, UK

Additional URL

http://www.worldcat.org/oclc/794838422

Comments

Edited by Dean Lusher, Johan Koskinen and Garry Robins

Included in

Sociology Commons

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