Social Network Analysis
Social Network Analysis
Katherine Faust , University of South Carolina
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USDSocial network analysis, which focuses on relationships among social entities, is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.
- The first book to provide comprehensive coverage of the methodology and applications of the field
- Both a reference work and a textbook
- Well-known and highly respected authors
Reviews & endorsements
"It should be an invaluable reference for scholars in the field and a critical resource...." Journal of the American Statistical Association
"The long-awaited publication of this volume marks a half-century maturation of social network analysis into a multidisciplinary research specialty with distinctive vocabulary, theoretical principles, and data-analytic techniques. Wasserman and Faust provide a compass by which to steer our path into the next century." Theory and Methods
Product details
November 1994Paperback
9780521387071
857 pages
227 × 152 × 38 mm
1.152kg
115 b/w illus. 67 tables
Available
Table of Contents
- Part I. Introduction: Networks, Relations, and Structure:
- 1. Relations and networks in the social and behavioral sciences
- 2. Social network data: collection and application
- Part II. Mathematical Representations of Social Networks:
- 3. Notation
- 4. Graphs and matrixes
- Part III. Structural and Locational Properties:
- 5. Centrality, prestige, and related actor and group measures
- 6. Structural balance, clusterability, and transitivity
- 7. Cohesive subgroups
- 8. Affiliations, co-memberships, and overlapping subgroups
- Part IV. Roles and Positions:
- 9. Structural equivalence
- 10. Blockmodels
- 11. Relational algebras
- 12. Network positions and roles
- Part V. Dyadic and Triadic Methods:
- 13. Dyads
- 14. Triads
- Part VI. Statistical Dyadic Interaction Models:
- 15. Statistical analysis of single relational networks
- 16. Stochastic blockmodels and goodness-of-fit indices
- Part VII. Epilogue:
- 17. Future directions.
