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Introducing Social Networks (Introducing Statistical Methods series) Paperback – August 9, 1999

ISBN-13: 978-0761956044 ISBN-10: 0761956042 Edition: 1st

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Editorial Reviews

Review

`We highly recommend this book for those who need an introduction to network analysis but want more than a textbook and want to actually move directly into research and data analysis' - Bulletin de Methodologie Sociologique

`This book is a valuable addition. The social network area is so lively, important and distinctive that it needs a goodnew introductory book every few years....It packs a surprising amount of important material into a modest amount of space, and delivers the material with style' - Sociological Research Online

Language Notes

Text: English (translation)
Original Language: French --This text refers to the Hardcover edition.
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Product Details

  • Series: Introducing Statistical Methods series
  • Paperback: 256 pages
  • Publisher: SAGE Publications Ltd; 1 edition (August 9, 1999)
  • Language: English
  • ISBN-10: 0761956042
  • ISBN-13: 978-0761956044
  • Product Dimensions: 6.1 x 0.5 x 9.2 inches
  • Shipping Weight: 13.6 ounces (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,657,320 in Books (See Top 100 in Books)

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31 of 36 people found the following review helpful By Suckwoo Lee on April 18, 2003
Format: Paperback
It¡¯s now the fashion to use the network analysis in social sciences. Originated from sociology, it¡¯s easy to find the term of network in top class journals like ¡®Strategic Management Journal¡¯ or ¡®Research Policy¡¯. Alas, there are not many primers available on the market, however. It¡¯s a weird thing. Without some decent introduction, you can¡¯t read even a piece of article which comes out in ¡®Social Networks¡¯, the official journal of network analysis field. The network analysis might be the only sociological methodology which attains the level of economics in terms of the mathematical modeling. Almost all articles adopting network analysis tell the forms and contents of network in number. They use the dedicated applications, such as Ucinet or Structure, to compute and plot the networks, and test hypotheses. In doing so, they deploy idiosyncratic terminology which would baffles uninitiated novices. There are some textbooks like Wasserman and et al¡¯s ¡®Social Network Analysis : Methods and Applications¡¯ or Scott¡¯s ¡®Social Network Analysis: A Handbook¡¯. But they are dry and boring: terse description with no enlightening examples. In this regard this book is the absolute savior. This book has two strong features:
1. A plethora of example: textbook is expected to introduce neophyte to utterly unknown field. Writer should not assume the reader would have read or even hear of any part of the field. Of course, it¡¯s a daunting task. But there is some usual prescription: explain with real world examples. This book is full of examples from real field works done in France and America.
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2 of 3 people found the following review helpful By LuigiR on July 30, 2008
Format: Paperback
I bought this product as part of a research on small-world networks, since I wanted to gather some knowledge on social networks in sociology.
I put it aside after four chapters for the following reasons:

(1) the introduction is a "punch in the stomach", scaring readers with the use of heavy technical lingo;
(2) the other three chapters seem more of a recollection of empirical studies, doing little to offer a truly logical framework of reference.

I recognise it might be personal taste, and my disorientation might also be due to the fact that I am no sociologist (I am a law student). Still, what I would expect from an introductory text is less divagation, and a deeper focus on the actual concepts.
Now, I'm going for Social Network Analysis: A Handbook. The introduction, already, seems much more digestible than Degenne and Forsé's (in my opinion) poor effort.
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