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Editorial Reviews
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.
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.
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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 Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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