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

Structural Analysis in the Social Sciences

by Dean Lusher (Editor), Johan Koskinen, Garry Robins

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.

616 pages, Kindle Edition

First published November 12, 2012

Reviews

[Natxo Sorolla · Rating 5 out of 5]

Ideal per a introduir-se en els ERGM