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.
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Editorial Reviews
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"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
30 of 31 people found the following review helpful:
5.0 out of 5 stars
Comprehensive Combinatrics,
By Guy Hagen, Innovation Insight (Tampa, Florida) - See all my reviews
This review is from: Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) (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.
33 of 45 people found the following review helpful:
2.0 out of 5 stars
Not for anyone with Mathematics or Computer Science background,
By
This review is from: Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) (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.
4 of 5 people found the following review helpful:
5.0 out of 5 stars
social network analysis: a good book,
By
This review is from: Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) (Paperback)
i purchased this book for my research purpose. after reading several chapters, i found this book is really helpful. you can consider it as a handbook for social network analysis, if you want to do some relevant research. you also could use it as an introductory reference, if you want to know something about social network analysis even you have not started such a kind of research yet. anyway, this book is not so expensive, while offering you enough knowledge in this area.
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Inside This Book
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First Sentence:
The notion of a social network and the methods of social network analysis have attracted considerable interest and curiosity from the social and behavioral science community in recent decades. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sociometric notation, joint homomorphic reduction, dyad census, ego algebras, single relational networks, actor attribute variables, prestige indices, local role equivalence, actor indices, digraph distribution, countries trade network, triad census, conditional uniform distribution, stochastic blockmodel, mutual dyads, null dyads, multirelational networks, nondirectional relations, network role structures, associations among relations, balanced signed graph, triadic analyses, blockmodel image matrices, equivalence blockmodel, random directed graph distributions Key Phrases - Capitalized Phrases (CAPs): (learn more)
Padgett's Florentine, United States, Model Null, United Kingdom, New Zealand, General Social Survey, These Pages New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The notion of a social network and the methods of social network analysis have attracted considerable interest and curiosity from the social and behavioral science community in recent decades. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sociometric notation, joint homomorphic reduction, dyad census, ego algebras, single relational networks, actor attribute variables, prestige indices, local role equivalence, actor indices, digraph distribution, countries trade network, triad census, conditional uniform distribution, stochastic blockmodel, mutual dyads, null dyads, multirelational networks, nondirectional relations, network role structures, associations among relations, balanced signed graph, triadic analyses, blockmodel image matrices, equivalence blockmodel, random directed graph distributions Key Phrases - Capitalized Phrases (CAPs): (learn more)
Padgett's Florentine, United States, Model Null, United Kingdom, New Zealand, General Social Survey, These Pages New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 17
books:
See all 17 books this book cites
100
books
cite this book:
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- 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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