Models and Methods in Social Network Analysis

ISBN-13: 9780521600972 / Angielski / Miękka / 2005 / 344 str.

Peter Carrington; John Scott; Stanley Wasserman

Opis

This volume is an important complement to Wasserman and Faust's Social Network Analysis: Methods and Applications (Cambridge, 1995). The authors, leading methodologists, present the most significant developments in quantitative models and methods for analyzing social network data that appeared in the 1990s. They review recent advances in network measurement, network sampling, analysis of centrality, positional analysis or blockmodelling, analysis of diffusion through networks, analysis of affiliation or "two-mode" networks, the theory of random graphs, and dependence graphs.

Spis treści

Acknowledgements; 1. Introduction Stanley Wasserman, John Scott and Peter J. Carrington; 2. Recent developments in network measurement Peter V. Marsden; 3. Network sampling and model fitting Ove Frank; 4. Extending centrality Martin Everett and Stephen P. Borgatti; 5. Positional analyses of sociometric data Patrick Doreian, Vladimir Batagelj and Anuska Ferligoj; 6. Network models and methods for studying the diffusion of innovations Thomas W. Valente; 7. Using correspondence analysis for joint displays of affiliation networks Katherine Faust; 8. An introduction to random graphs, dependence graphs, and p* Stanley Wasserman and Garry Robins; 9. Random graph models for social networks: multiple relations or multiple raters Laura M. Koehly and Philippa Pattison; 10. Interdependencies and social processes: dependence graphs and generalized dependence structures Garry Robins and Philippa Pattison; 11. Models for longitudinal network data Tom A. B. Snijders; 12. Graphical techniques for exploring social network data Linton C. Freeman; 13. Software for social network analysis Mark Huisman and Marijtje A. J. van Duijn; Index.