Models and Methods in Social Network Analysis
$55.99 (P)
Part of Structural Analysis in the Social Sciences
- Editors:
- Peter J. Carrington, University of Waterloo, Ontario
- John Scott, University of Essex
- Stanley Wasserman, Indiana University, Bloomington
- Date Published: February 2005
- availability: Available
- format: Paperback
- isbn: 9780521600972
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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.
Read more- 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
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×Product details
- Date Published: February 2005
- format: Paperback
- isbn: 9780521600972
- length: 344 pages
- dimensions: 251 x 178 x 23 mm
- weight: 0.59kg
- contains: 98 b/w illus.
- availability: Available
Table of Contents
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.Instructors have used or reviewed this title for the following courses
- Internet Technology
- Policy Analysis in Public Affairs
- Social Analysis
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