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Exponential Random Graph Models for Social Networks :...

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

Dean Lusher, Johan Koskinen, Garry Robins (eds.)
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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.
年:
2012
出版社:
Cambridge University Press
语言:
english
页:
361
ISBN 10:
113984749X
ISBN 13:
9781139853415
系列:
Structural Analysis in the Social Sciences 35
文件:
PDF, 5.23 MB
IPFS:
CID , CID Blake2b
english, 2012
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