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Social Network Analysis (Quantitative Applications in the Social Sciences), by David H. Knoke, Song Yang
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In the thoroughly updated edition of Social Network Analysis, authors David Knoke and Song Yang take into account the vast number of changes in the field that have occurred in the 25 years since the first edition was published. They cover various issues in basic network concepts, data collection, and network analytical methodology. They succinctly illustrate the concepts and methods related to substantive social network research problems, citing examples ranging from children's play groups to organizations, communities, and international systems. Readers can also analyze the real and artificial datasets incorporated throughout the book.
Key Features of the Second Edition
� Expands on the previous edition by incorporating new basic social network developments
� Provides a general overview of fundamental theoretical and methodological topics
� Clearly presents concepts by using concise language and avoiding technical complexities
Intended Audience
The text's informal approach will appeal to both students and professionals in the humanities and social sciences.
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- Sales Rank: #205215 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2007-11-14
- Original language: English
- Number of items: 1
- Dimensions: 8.48" h x .31" w x 5.68" l, .37 pounds
- Binding: Paperback
- 144 pages
- Used Book in Good Condition
About the Author
Davd Knoke (Ph.D., University of Michigan 1972) coauthored Network Analysis (1982) and has published fifteen books and more than a hundred articles and book chapters, primarily on organizations, networks, politics, and social statistics. He was principal co-investigator on several National Science Foundation-funded projects on voluntary associations, lobbying organizations in national policy domains, and organizational surveys of diverse establishments. A current project on the Global Information Sector examines strategic alliance network evolution among international corporations. At Minnesota, he teaches a graduate network analysis seminar that attracts students from diverse disciplines.
Song Yang (Ph.D. University of Minnesota, 2002) is Professor at the Department of Sociology and Criminal Justice at the University of Arkansas. He also holds Qianren Professorship with School of Sociology and Political Science at Shanghai University. His research areas are social network analysis, sociology of work, and organizational studies. He published Social Network Analysis, Second Edition with David Knoke (Sage, 2008), and the Invisible Hands of Political Parties in Presidential Elections: Party Activists and Political Aggregation from 2004 to 2012 with Andrew Dowdle, Scott Limbocker, Patrick A. Stewart, and Karen Sebold (Palgrave MacMillan, 2013). He�has published more than 20 articles in various peer reviewed journals such as Party Politics, Social Science Research, Sociological Spectrum, and Sociological Inquiry.
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Most helpful customer reviews
28 of 29 people found the following review helpful.
Great overview of SNA
By W. Clifton Baldwin
A very good beginning text that presents an overview of social network analysis (SNA). It is an easy read that will allow one to understand the basics of SNA, including an overview of the mathematical elements. Also it has a nice reference list for the reader who desires a deeper understanding.
4 of 4 people found the following review helpful.
Good Reference Work
By SmithLA
This is an approach I'm considering for my own research. I had no previous knowledge of this specific method, although I'm well versed in similar techniques. Overall, I thought this was well-written and not too overwhelming at this stage of my investigation. Most helpful.
0 of 1 people found the following review helpful.
That look like a photocopy book not a printed item
By Hai
Content is simple. That look like a photocopy book not a printed item.
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