Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)

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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3 Responses to Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)

  1. Guy Hagen, Innovation Insight

    Comprehensive Combinatrics 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.

  2. George Orwell "laguna10"

    Kindle edition is useless (book is excellent) 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.

  3. Steven L. Roberts

    Not for anyone with Mathematics or Computer Science background 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.

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