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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 complexitiesIntended AudienceThe text′s informal approach will appeal to both students and professionals in the humanities and social sciences.Learn more about "The Little Green Book" - QASS Series! Click Here
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Product details
Series: Quantitative Applications in the Social Sciences (Book 154)
Paperback: 144 pages
Publisher: SAGE Publications, Inc; 2nd edition (November 14, 2007)
Language: English
ISBN-10: 1412927498
ISBN-13: 978-1412927499
Product Dimensions:
5.5 x 0.3 x 8.5 inches
Shipping Weight: 5.6 ounces (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#1,022,503 in Books (See Top 100 in Books)
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.
Great read!
Required Reading
Content is simple. That look like a photocopy book not a printed item.
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.
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