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Exponential Random Graph Models for Social Networks
Theory, Methods, and Applications
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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.
Cambridge University Press; November 2012
362 pages; ISBN 9781139847490
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362 pages; ISBN 9781139847490
Read online, or download in secure PDF format
