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.
Exponential Random Graph Models for Social Networks: Theories, Methods and Applications
Lusher, Dean; Koskinen, Johan; Robins, Garry
Cambridge University Press
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Harrigan, Nicholas. 2013. "Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation." In Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications, edited by Dean Lusher, Johan Koskinen, and Garry Robbins, 260-271. Cambridge: Cambridge University Press.