Designed to explain the techniques and applications of Exponential Random Graph Modeling (ERGM) for social scientists, this title offers a uniquely sophisticated yet useful and accessible volume. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although the method was developed specifically to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression. INDICE: 1. The Promise and Challenge of Network Approaches2. Statistical Network Models3. Building a Useful Exponential Random Graph Model4. Extensions of the Basic Model for Directed Networks and Using Dyadic Attributes as Predictors5. Conclusion and Recommendations
- ISBN: 978-1-4522-2080-2
- Editorial: SAGE Publications, Inc
- Encuadernacion: Rústica
- Páginas: 128
- Fecha Publicación: 28/02/2014
- Nº Volúmenes: 1
- Idioma: