Exponential Random Graph Models for Social Networks
Author | : Dean Lusher |
Publisher | : Cambridge University Press |
Total Pages | : 361 |
Release | : 2012-11-19 |
ISBN-10 | : 9781139851039 |
ISBN-13 | : 1139851039 |
Rating | : 4/5 (039 Downloads) |
Download or read book Exponential Random Graph Models for Social Networks written by Dean Lusher and published by Cambridge University Press. This book was released on 2012-11-19 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.