Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.
Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
David Knoke (Ph.D., University of Michigan, 1972) is a professor of sociology at the University of Minnesota, where he teaches and does research on diverse social networks, including political, economic, healthcare, intra- and interorganizational, and terrorist & counterterror networks. In addition to many articles and chapters, he has written seven books about networks: Network Analysis (1982, with James Kuklinski), The Organizational State (1985, with Edward Laumann), Political Networks (1990), Comparing Policy Networks (1996, with Franz Pappi, Jeffrey Broadbent, and Yutaka Tsujinaka), Changing Organizations (2001), Social Network Analysis (2008, with Song Yang), and Economic Networks (2012).
Inhaltsangabe
Series Editor's Introduction About the Authors Acknowledgments Chapter 1. Introduction to Social Network Analysis Chapter 2. Network Fundamentals 2.1. Underlying Assumptions 2.2. Entities and Relations 2.3. Networks 2.4. Research Design Elements Chapter 3. Data Collection 3.1. Boundary Specification 3.2. Data Collection Procedures 3.3. Cognitive Social Structure 3.4. Missing Data 3.5. Measurement Error 3.6. Collecting Network Data Chapter 4. Basic Methods for Analyzing Networks 4.1. Network Representation: Graphs and Matrices 4.2. Nodes: Centrality, Power, Prestige 4.3. Dyads: Walk, Path, Distance, Reachability 4.4. Subgroups: Transitivity and Cliques 4.5. Whole Networks: Size, Density, Centralization 4.6. Structural, Regular, and Automorphic Equivalence Chapter 5. Advanced Methods for Analyzing Networks 5.1. Ego-Nets 5.2. Visualizations: Clustering, MDS, Blockmodels 5.3. Two-Mode and 3-Mode Networks 5.4. Community Detection 5.5. Exponential Random Graph Models (ERGMs) 5.6. Future Directions in Network Analysis Appendix: Social Network Analysis Software Packages References Index
