Social network analysis, which focuses on relationships among social entities, is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.
Social Network Analysis
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Editorial Reviews
Review
"It should be an invaluable reference for scholars in the field and a critical resource...." Journal of the American Statistical Association
"The long-awaited publication of this volume marks a half-century maturation of social network analysis into a multidisciplinary research specialty with distinctive vocabulary, theoretical principles, and data-analytic techniques. Wasserman and Faust provide a compass by which to steer our path into the next century." Theory and Methods
"The long-awaited publication of this volume marks a half-century maturation of social network analysis into a multidisciplinary research specialty with distinctive vocabulary, theoretical principles, and data-analytic techniques. Wasserman and Faust provide a compass by which to steer our path into the next century." Theory and Methods
Book Description
Focusing on relationships among social entities, social network analysis is used widely in the social and behavioral sciences, economics, marketing and industrial engineering. This book provides comprehensive coverage of the field, and is a reference book as well as a textbook.
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Most Helpful Customer Reviews
34 of 35 people found the following review helpful
Format:Paperback
I am a research consultant specializing in SNA. This book is the best in the field, as a reference for those formally trained in the discipline or a self-instruction manual for those who really want to use SNA methodology. It's well written; but the mathematical and combinatric underpinnings of SNA won't make for light reading. This books stands out among others in that each subject area is thoroughly documented and cited for further reading and examples of application, and that the base algorithms are provided for most SNA techniques - useful if you want to learn how to "do" instead of just run a software package, or want to program your own. No SNA analyst should neglect this reference.
9 of 9 people found the following review helpful
Format:Kindle Edition|Amazon Verified Purchase
There is no good mechanism on Amazon to distinguish this unfortunate dichotomy: This excellent resource for those studying networks belongs on your bookshelf even if it can be pedantic.
The Kindle is excellent in many things. Handling books that rely heavily on indices is not one of them.
This book has a table of contents that is too high-level to be useful. However, even in the small print, the indices cover 42 kindle 'pages' on an ipad (kindle on ipad). This is a reference book. This is not start-at-the-beginning sort of book. There are therefore 42 maddening pages of items in the indices without any way (page or place) or referencing them. This is a fault of the Kindle, not the book. However, other books at least have page numbers so that you can approximate. This kindle edition has blank space.
I had to spend the $$ on the print version in addition. Don't waste your money too.
The Kindle is excellent in many things. Handling books that rely heavily on indices is not one of them.
This book has a table of contents that is too high-level to be useful. However, even in the small print, the indices cover 42 kindle 'pages' on an ipad (kindle on ipad). This is a reference book. This is not start-at-the-beginning sort of book. There are therefore 42 maddening pages of items in the indices without any way (page or place) or referencing them. This is a fault of the Kindle, not the book. However, other books at least have page numbers so that you can approximate. This kindle edition has blank space.
I had to spend the $$ on the print version in addition. Don't waste your money too.
38 of 52 people found the following review helpful
Format:Paperback
This book is unbelievably tedious and repetitious. There is very little actual content for the length of the book. It takes nearly 200 pages just to define some very basic terms from graph theory. This might have been fine if the space were taken up by some sort of meaningful discussion on the relevance of these graph theory concepts to sociological studies and theory. The book (possibly the field?) has the flavor of "here's a hammer, now what can we hit with it?".
Would have liked to see a format based on justification of the analytic techniques from sociological principles, or something much much more concise. Nothing much to see here, move on.
Would have liked to see a format based on justification of the analytic techniques from sociological principles, or something much much more concise. Nothing much to see here, move on.
Most Recent Customer Reviews
5.0 out of 5 stars
Excellent Resource
Excellent resource for those interested in Social Network Analysis. The book is a bit technical but can still be read by those crime and intelligence analyst wanting to learn more... Read more
Published 13 days ago by Mario Eybers
2.0 out of 5 stars
Tedious, Repetitive, Pretentious
I agree with Steven Roberts -- this book is very repetitive. It is almost 800 pages long. It could have been cut to 400 pages with some editing to remove successive pairs of... Read more
Published 24 months ago by Dennis Hanseman
5.0 out of 5 stars
Ok Book
This book is very comprehensive, but that's not always a good thing. I'd have an easier time looking up stuff if I had an electronic version. Read more
Published on May 25, 2010 by Jessi Wessi
5.0 out of 5 stars
The "go to" book for social network analysis
This book provides detailed and authoritative information that is essential for those who want to employ SNA as a methodology.
Published on July 9, 2008 by Margaret Clements
2.0 out of 5 stars
relatively useless
This book is basically a compilation of different things, most of them pretty useless. In particular, all the mathematical part is in view of the recent developments of network... Read more
Published on May 2, 2006 by Mark Twain
5.0 out of 5 stars
Understanding graph theory in many scenarios.
This book is supported in graph theory, the authors make a comprehensively use of matrix technique and short formulas for explaining how social groups are associated. Read more
Published on April 20, 2006 by Sergio Quijada
5.0 out of 5 stars
Easy to read, easy to understand, great introduction
I think, This book is the best written book I have ever read. I use it to teach my students how to write. Read more
Published on March 13, 2006 by Nelson L. Lammoglia
5.0 out of 5 stars
social network analysis: a good book
i purchased this book for my research purpose. after reading several chapters, i found this book is really helpful. Read more
Published on August 28, 2005 by Tang Yi
4.0 out of 5 stars
Seria Referencia de Análisis de Redes Sociales
Este libro es una referencia seria acerca del estudio de las redes sociales, ya que aborda al tema desde una perspectiva académica y formal, no es muy bueno para aquellos... Read more
Published on April 1, 2003 by Miguel Martinez Hernandez
5.0 out of 5 stars
Social Network Analysis Bible
This volume offers a comprehensive introduction to the field of Social Network Analysis. It's bibliography is extraordinarily complete.
Published on April 6, 2000
Citations (learn more)
This book cites 17
books:
See all 17 books this book cites
100
books
cite this book:
See all 100 books citing this book
- Social Mobility and Social Structure (Structural Analysis in the Social Sciences) by Ronald L. Breiger in Front Matter
- The Information in Contingency Tables by D. V. Gokhale in Back Matter
- Flows in Networks (Rand Corporation Research Studies Series) by L. R. Ford in Back Matter
- Analysis of Binary Data, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by D.R. Cox in Back Matter
- Conflict / The Web Of Group Affiliations by Georg Simmel in Back Matter
See all 17 books this book cites
- Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) by Wouter de Nooy on 9 pages
- Network Epidemiology: A Handbook for Survey Design and Data Collection (International Studies in Demography) by Martina Morris on 4 pages
- Intelligence and Security Informatics: IEEE International Conference on Intelligence and Security Informatics, ISI 2005, Atlanta, GA, USA, May 19-20, ... Applications, incl. Internet/Web, and HCI) by Paul Kantor on page 26, page 59, and page 304
- A Structural Theory of Social Influence (Structural Analysis in the Social Sciences) by Noah E. Friedkin in Front Matter, and Back Matter
- Sociological Methodology (Volume 33, 2003) by Ross M. Stolzenberg on page 341, and page 380
See all 100 books citing this book
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