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

by Stanley Wasserman, Katherine Faust
3.8 out of 5 stars  See all reviews (14 customer reviews)

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Book Description

November 25, 1994 0521387078 978-0521387071 1
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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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) + Analyzing Social Networks + 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

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.

Product Details

  • Series: Structural Analysis in the Social Sciences (Book 8)
  • Paperback: 857 pages
  • Publisher: Cambridge University Press; 1 edition (November 25, 1994)
  • Language: English
  • ISBN-10: 0521387078
  • ISBN-13: 978-0521387071
  • Product Dimensions: 9 x 6 x 1.5 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #166,561 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
34 of 35 people found the following review helpful
5.0 out of 5 stars Comprehensive Combinatrics March 14, 2004
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.
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11 of 12 people found the following review helpful
1.0 out of 5 stars Kindle edition is useless (book is excellent) October 27, 2011
Format:Kindle Edition|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.
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40 of 54 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.
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5 of 6 people found the following review helpful
5.0 out of 5 stars social network analysis: a good book August 28, 2005
By Tang Yi
Format: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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6 of 8 people found the following review helpful
2.0 out of 5 stars Tedious, Repetitive, Pretentious May 30, 2011
Format:Paperback|Verified Purchase
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 sentences that say almost exactly the same thing and to remove exasperatingly repetitive references to the literature.

The authors are very fond of "noting" things. I didn't count, but I'm sure that the formulation "We note that ..." must appear at least 1000 time in this book.

I think this is the most tedious book I have ever read. I did force myself to read every page. But in the end, my take is that it was much too great an investment in tools. All of the examples in the book are either hypothetical or toy-like. I can't see any reason why all of the (pseudo)mathematical superstructure was necessary.
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1 of 1 people found the following review helpful
3.0 out of 5 stars Very very very wordy. December 19, 2013
Format:Paperback|Verified Purchase
A very low level book that nonetheless has lots of good but basic information in it. If you are not mathematically inclined and are new to network science it is probably pretty good. If you want the mathematical or statistical viewpoint the book is far too basic. Indeed, the book is somewhat dated given the current research in statistical methods for networks. The book is a bit difficult to read because it is so wordy - needlessly slow. It is exhausting to read. The same basic concept is redefined three of four times in consecutive sentences! A good editor could easily get rid of about 1/3 of the book.
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1 of 1 people found the following review helpful
3.0 out of 5 stars Great Content - Bad formatting July 18, 2013
Format:Paperback|Verified Purchase
I have nothing bad to say about the book. It is high quality content.

My issue is with the actual printing of the book. I've ordered the book 3 times now and each time the margins had over 2 inches on the outside margin and less than 1 cm on the inside portion. This makes it extremely difficult to read the text towards the center of each page. Asked Amazon to fix, they told me they did and I repurchased -- but again, same margin issue.
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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 11 months ago by Mario Eybers
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
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