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Exponential Random Graph Models for Social Networks

Theory, Methods, and Applications

Language EnglishEnglish
Book Paperback
Book Exponential Random Graph Models for Social Networks Dean Lusher
Libristo code: 01231885
Publishers Cambridge University Press, November 2012
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are ce... Full description
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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.

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About the book

Full name Exponential Random Graph Models for Social Networks
Author Dean Lusher
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 360
EAN 9780521141383
ISBN 0521141389
Libristo code 01231885
Weight 554
Dimensions 228 x 153 x 26
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