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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) Paperback – November 25, 1994

ISBN-13: 978-0521387071 ISBN-10: 0521387078 Edition: 1st

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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) + Analyzing Social Networks + Understanding Social Networks: Theories, Concepts, and Findings
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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: 6 x 1.5 x 9 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #169,691 in Books (See Top 100 in Books)

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.

Customer Reviews

3.9 out of 5 stars

Most Helpful Customer Reviews

35 of 36 people found the following review helpful By Guy Hagen, Innovation Insight on 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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12 of 13 people found the following review helpful By George Orwell on 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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43 of 57 people found the following review helpful By Steven L. Roberts on September 3, 2005
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 By Tang Yi on August 28, 2005
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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7 of 9 people found the following review helpful By Dennis Hanseman on 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 By Alan M. Polansky on 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 By M. Fornito on 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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Format: Kindle Edition Verified Purchase
If you are used to grad school text, this is a decent book easy to follow. It does repeat itself sometimes, but you can just skip. It's for someone who wants to practice the network analysis and learn from scratch, and definitely not for computer programmers who just want to learn enough to write a software for others to perform sna.

The book may need an update to include some up-to-date information eventually.
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