Exponential Random Graph Models for Social Networks

Theory, Methods, and Applications

by Dean Lusher, Johan Koskinen, Garry Robins

Series: Structural Analysis in the Social Sciences (No. 35)

Subject categories
ISBNs
  • 9780521193566
  • 9781139847490
  • 9781139853415
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.

  • Cambridge University Press; November 2012
  • ISBN: 9781139847490
  • Read online, or download in secure PDF or secure ePub format
  • Title: Exponential Random Graph Models for Social Networks
  • Series: Structural Analysis in the Social Sciences (No. 35)
  • Author: Dean Lusher (ed.); Johan Koskinen (ed.); Garry Robins (ed.)
  • Imprint: Cambridge University Press
Subject categories
ISBNs
  • 9780521193566
  • 9781139847490
  • 9781139853415

In The Press

'I've been waiting impatiently for this book and I was definitely not disappointed. Finally we have a sourcebook on ERGMs that is both comprehensive and comprehensible. Most of the chapters are written for quantitative researchers who are not statisticians. Many illustrative empirical applications are worked through. Software packages are discussed. For the researcher who is intrigued by the possibility of analyzing network data with an ERGM, or who is already trying to do so, this is an indispensable resource.' Peter Carrington, University of Waterloo