- Publisher: CAMBRIDGE UNIVERSITY PRESS
- Format: Paperback | 344 pages
- Dimensions: 173mm x 252mm x 23mm | 590g
- Publication date: 28 February 2005
- Publication City/Country: Cambridge
- ISBN 10: 0521600979
- ISBN 13: 9780521600972
- Edition statement: New.
- Illustrations note: 98 b/w illus.
- Sales rank: 436,111
Models and Methods in Social Network Analysis, first published in 2005, 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 articles by leading methodologists reviewing 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.
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Peter J. Carrington is Professor of Sociology at the University of Waterloo. His main teaching and research interests are in the criminal and juvenile justice systems, social networks, and research methods and statistics. He has published articles in the Canadian Journal of Criminology and Criminal Justice, the American Journal of Psychiatry, the Journal of Mathematical Sociology, and Social Networks. He has most recently been involved in several evaluation studies for the Department of Justice Canada. He is currently doing research on police discretion, criminal and delinquent careers and networks, and the impact of the Youth Criminal Justice Act on the youth justice system in Canada. John Scott is Professor of Sociology at the University of Essex. An active member of the British Sociological Association, he served as its President from 2001 until 2003. He has written more than fifteen books, including Corporate Business and Capitalist Classes (1997), Social Network Analysis (1991 and 2000), Sociological Theory (1995), and Power (2001). With James Fulcher he is the author of the leading introductory textbook Sociology (1999 and 2003). He is a member of the Editorial Board of the British Journal of Sociology and is an Academician of the Academy of Learned Societies in the Social Sciences. Stanley Wasserman is Professor of Psychology, Statistics, and Sociology at the University of Illinois-Champaign. He has done research on methodology for social networks for almost thirty years. He has edited books on the subject, including Advances in Social Network Analysis: Research in the Social and Behavioral Sciences (1994), and Social Network Analysis: Methods and Applications (1994). His work is recognized by statisticians as well as social and behavioral scientists worldwide. He is currently Book Review Editor of Chance, and an Associate Editor of the Journal of the American Statistical Association and Psychometrika. He has also been a very active consultant, and is currently Chief Scientist of Visible Path, an organizational network software firm.
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.