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Analyzing Social Networks, by Stephen P Borgatti, Martin G. Everett, Jeffrey C. Johnson
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Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret social network data with a particular emphasis on the use of the software tools UCINET and Netdraw.
The book includes a clear and detailed introduction to the fundamental concepts of network analyses, including centrality, subgroups, equivalence and network structure, as well as cross-cutting chapters that helpfully show how to apply network concepts to different kinds of networks.
Written using simple language and notation with few equations, this book masterfully covers the research process, including:
� The initial design stage
� Data collection and manipulation
� Measuring key variables
� Exploration of structure
� Hypothesis testing
� Interpretation
This is an essential resource for students, researchers and practitioners across the social sciences who want to use network analysis as part of their research.
A companion website is available at:�sites.google.com/site/analyzingsocialnetworks/
- Sales Rank: #110013 in Books
- Published on: 2013-05-29
- Released on: 2013-05-29
- Original language: English
- Number of items: 1
- Dimensions: 9.13" h x .69" w x 7.32" l, .0 pounds
- Binding: Paperback
- 304 pages
Review
�
'Literature concerning social network analysis has been enriched by one more book dealing with this phenomenon. [...] The examples are drawn from a variety of fields – anthropology, sociology, management, and health care. The book could be useful for a broad range of specialists in different scientific spheres. The book is a general introduction to doing network analysis based on network theory and focused on methodology of research design and data collection' (Stanislava Yordanova Stoyanova 2013-07-05)�
'The authors have divided each chapter into short sections that make it easy to read since they orient the reader to the needed content. Almost all sections are supported with graphs, figures and tables that explain the different research steps a social network analyst should go through starting from the design to the interpretation of results. For the authors to satisfy a larger audience, they have employed a simple language that students, researchers, teachers and practitioners can understand. All in all, the book remains an excellent reference and guide to help a worker in SNA succeed in his analysis especially with the wide number of illustrations, figures and examples present all though the book' (Nadia Idri 2013-07-31)The best introduction to the analysis of social networks. All the basic techniques are there, easily digestible and ready to�apply to tangible research problems.� (Michael Schwartz, Professor 2013-10-30)
We've been waiting for this book for a long time. Masters of their craft, Borgatti, Everett and Johnson guide us through the excitement and challenges of social network analysis. It will be your companion on all of your analytic journeys. (Barry Wellman, S.D. Clark Professor of Sociology 2013-10-23)
This book is a well-written, comprehensive introduction to the must-know techniques of social network analysis. Drawing from their discipline overarching, rich experience with social network data from various backgrounds, the authors make SNA’s concepts and algorithms accessible, turning them into powerful research tools for their readers.
(Christian Steglich 2016-03-14)
From the Author
A website supporting the book is available at:
- sites.google.com/site/analyzingsocialnetworks/
About the Author
Biographies of each of the authors are available at this website:
- sites.google.com/site/analyzingsocialnetworks/authors
Most helpful customer reviews
26 of 27 people found the following review helpful.
Great Introduction to SNA
By Reviewer11922
This book covers all the basic approaches to network analysis. While the Wasserman & Faust text covers the mathematical approaches in depth, Analyzing Social Networks is a more concise work for those who are ready to start playing around with SNA software.
I was surprised, though, that there wasn't much in-depth explanation of UCINET, the authors' own network analysis package. I have been trying to get beyond the basics of using UCINET on my own, and it has been difficult. I am not a programmer, so the help files for the software leave a lot to be desired for someone like me. But I think this book, coupled with "Disrupting Dark Networks" (which provides examples using UCINET, Pajek, and ORA), make a great pair of resources for those trying to learn SNA on their own.
Edit (7/14/2013)-- The authors kindly pointed out to me that while not in the book, there is a document on the website that explain how to use UCINET.
"Note that the details on how to do everything in UCINET is contained in an 83 page document which is on the web at sites.google.com/site/analyzingsocialnetworks/
Martin, Steve and Jeff"
4 of 4 people found the following review helpful.
Interesting, informative but not for the Beginner
By The SRA
A book which takes the reader on a tour of key concepts in social network analysis with reference to examples from the empirical literature. The book assumes familiarity with research terminology and is best suited to established researchers rather than to the aspirant social network analyst. The book does not provide a complete tutorial in the use of UCINET as a tutorial is available online.
Reviewed by Paul Webb, Research Officer, Praxis Care, Belfast, on behalf of the SRA.
3 of 4 people found the following review helpful.
Great book!
By TechJunkie
Provides an excellent background to effectively analyze social network data. This is an perfect reference book for beginners to experts.
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