Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications
Saved in:
| Title: | Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications |
|---|---|
| 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. |
| Authors: | Dean Lusher, Johan Koskinen, Garry Robins |
| Resource Type: | eBook. |
| Subjects: | Social networks--Mathematical models, Social networks--Research--Graphic methods |
| Categories: | BUSINESS & ECONOMICS / Negotiating, FAMILY & RELATIONSHIPS / Interpersonal Relations |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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. |
|---|---|
| ISBN: | 9780521193566 9781139839587 |
