Models and Methods in Social Network Analysis

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or ‘two-mode’ networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

• Presents the most important developments in quantitative models and methods for analyzing social network data that have recently appeared • A collection of original articles by leading methodologists • A complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications • Illustrated with substantive applications

1. Introduction; 2. Recent developments in network measurement; 3. Network sampling and model fitting; 4. Extending centrality; 5. Positional analyses of sociometric data; 6. Network models and methods for studying the diffusion of innovations; 7. Using correspondence analysis for joint displays of affiliation networks; 8. An introduction to random graphs, dependence graphs, and p*; 9. Random graph models for social networks: multiple relations or multiple raters; 10. Interdependencies and social processes: dependence graphs and generalized dependence structures; 11. Models for longitudinal network data; 12. Graphical techniques for exploring social network data; 13. Software for social network analysis.