- Hardcover: 344 pages
- Publisher: Cambridge University Press (7 Feb. 2005)
- Language: English
- ISBN-10: 0521809592
- ISBN-13: 978-0521809597
- Product Dimensions: 17.7 x 2.1 x 25.3 cm
- Amazon Bestsellers Rank: 7,258,488 in Books (See Top 100 in Books)
- See Complete Table of Contents
Models and Methods in Social Network Analysis (Structural Analysis in the Social Sciences) Hardcover – 7 Feb 2005
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This book consists of review articles by leading methodologists, all commissioned exclusively for this volume. The book will complement the classic text by Wasserman and Faust, Social Network Analysis: Methods and Applications (also available from Cambridge University Press).
About the Author
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.
Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)
Social network analysis is mathematically vastly different from normal statistical methods. A whole new language is used - and concepts such as "betweenness" or "centrality" correctly convey the spatial nature of SN analysis.
This volume of 13 papers on the topic includes the perspectives of social scientists, through to cutting-edge SN mathematicians, and to be honest I come more from the former category. I'm a market research analyst and found the more intensely mathematical chapters, replete with formulae, simply beyond my grasp. So a warning for readers of my persuasion: you'll need to put on your technical hat.
That said, there is more than enough grist here for a lay person such as myself to learn the basics of Social Network Analysis and to understand many of the new dynamics of this field. I particularly recommend Linton Freeman's chapter of graphical techniques because it makes a warm link between the science and art of this emerging field.
The last chapter also more than makes the price of admission well worthwhile because it reviews available SN softwares (this book was published in 2005 so it is quite contemporary) and our small analytical firm has been able to invest in a good product. We now use the book as our technical support as we learn the unique and illuminating characteristics of social network analysis - in organisational research, and in some innovative work we're now able to do in market research. This volume is practical help.
Our society is increasingly networked through mobiles, internet and other layers of social connection. For social, organisational and market researchers this field is vital. I can therefore recommend this volume as a guidebook. If I found it valuable (despite being somewhat difficult,) you readers with a math degree will find it even more fascinating. Strongly recommended if you're getting into the SN field.
PS. On a broader front, let me also recommend:Six Degrees: The Science of a Connected Age (Open Market Edition)
If you've got a lot of books on SNA and want to be up to speed with the latest techniques then this is an excellent book, (and you probably already own it!) If however, you're looking for a couple of introductory books on the field and are only planning to get one or two then this one alas probably won't cover all your bases.