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Social Network Analysis (Quantitative Applications in the Social Sciences)
 
 
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Social Network Analysis (Quantitative Applications in the Social Sciences) [Paperback]

David Knoke (Author), Song Yang (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

1412927498 978-1412927499 November 14, 2007 2nd

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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Editorial Reviews

About the Author

Song Yang (Ph.D., University of Minnesota 2002) authored Investigating Job Training Programs in U.S. Organizations (2003) and published 15 articles and book chapters on issues related to work and workplaces, and social network analysis. He is working on sveral proposals to study various Human Resources (HR) policies and programs in Chinese organizations, focusing on emergent stratification structures and underpinning factors behind those stratification. He teaches methodology and statistics to both graduate and undergraduate students at Arkansas.



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.


Product Details

  • Paperback: 144 pages
  • Publisher: Sage Publications, Inc; 2nd edition (November 14, 2007)
  • Language: English
  • ISBN-10: 1412927498
  • ISBN-13: 978-1412927499
  • Product Dimensions: 8.3 x 5.5 x 0.4 inches
  • Shipping Weight: 5.6 ounces (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #60,349 in Books (See Top 100 in Books)

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18 of 19 people found the following review helpful:
5.0 out of 5 stars Great overview of SNA, January 17, 2008
By 
W. Clifton Baldwin (Bayville, NJ United States) - See all my reviews
(REAL NAME)   
This review is from: Social Network Analysis (Quantitative Applications in the Social Sciences) (Paperback)
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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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
group degree centralization, bipartite matrix, core discussion groups, nondirected relations, automorphic equivalence, nondirected network, egocentric data, actor degree centrality, affiliation matrix, structurally equivalent actors, directed ties, valued graphs, closeness centrality, social network data, egocentric network, informant bias, regular equivalence, affiliation network, betweenness centrality, nondirected graph, missing nodes, nodal degree, name generator, dyadic ties, expanding selection
Key Phrases - Capitalized Phrases (CAPs): (learn more)
General Social Survey, Following Freeman
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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