Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- 1 Introduction
- Section I Rationale
- Section II Methods
- 6 Exponential Random Graph Model Fundamentals
- 7 Dependence Graphs and Sufficient Statistics
- 8 Social Selection, Dyadic Covariates, and Geospatial Effects
- 9 Autologistic Actor Attribute Models
- 10 Exponential Random Graph Model Extensions: Models for Multiple Networks and Bipartite Networks
- 11 Longitudinal Models
- 12 Simulation, Estimation, and Goodness of Fit
- 13 Illustrations: Simulation, Estimation, and Goodness of Fit
- Section III Applications
- Section IV Future
- References
- Index
- Name Index
6 - Exponential Random Graph Model Fundamentals
Published online by Cambridge University Press: 05 April 2013
Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- 1 Introduction
- Section I Rationale
- Section II Methods
- 6 Exponential Random Graph Model Fundamentals
- 7 Dependence Graphs and Sufficient Statistics
- 8 Social Selection, Dyadic Covariates, and Geospatial Effects
- 9 Autologistic Actor Attribute Models
- 10 Exponential Random Graph Model Extensions: Models for Multiple Networks and Bipartite Networks
- 11 Longitudinal Models
- 12 Simulation, Estimation, and Goodness of Fit
- 13 Illustrations: Simulation, Estimation, and Goodness of Fit
- Section III Applications
- Section IV Future
- References
- Index
- Name Index
- Type
- Chapter
- Information
- Exponential Random Graph Models for Social NetworksTheory, Methods, and Applications, pp. 49 - 76Publisher: Cambridge University PressPrint publication year: 2012
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