Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications Paperback / softback
Edited by Dean (Swinburne University of Technology, Victoria) Lusher, Johan (University of Manchester) Koskinen, Garry (University of Melbourne) Robins
Part of the Structural Analysis in the Social Sciences series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:360 pages, 71 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:19/11/2012
- Category:
- ISBN:9780521141383
Information
-
Out of stock
- Format:Paperback / softback
- Pages:360 pages, 71 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:19/11/2012
- Category:
- ISBN:9780521141383
