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Social Network Analysis: Quantitative Applications in the Social Sciences, cartea 154

Autor David Knoke, Song Yang
en Limba Engleză Paperback – 19 ian 2020
Social Network Analysis, Third Edition succinctly illustrates the concepts and methods related to substantive social network research problems. The authors convey key material while at the same time minimizing technical complexities, citing examples ranging from small networks to communities, and international systems. The new edition reflects developments and changes in practice over the past decade and describes important recent developments in network analysis. Throughout the volume, Knoke and Yang also comment on the challenges and opportunities offered by internet and social media data.
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Specificații

ISBN-13: 9781506389318
ISBN-10: 1506389317
Pagini: 200
Dimensiuni: 140 x 216 x 15 mm
Greutate: 0.23 kg
Ediția:Third Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

One of the most clear and yet comprehensive explanations of network analysis in research that I have ever read. 

This book provides a solid foundation for conducting a social network analysis for all analytics professionals

Knoke and Yang have written a compelling new edition that balances timeless description of key network concepts with a fresh set of examples drawn from the myriad instances in which social scientists are using social network analysis to understand relationships. 

Cuprins

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

Notă biografică

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).



Descriere

Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.