Social Network Analysis: Methods and Applications

ISBN-13: 9780521387071 / Angielski / Miękka / 1994 / 857 str.

Stanley Wasserman; Mark Granovetter; Katherine Faust

Opis

Social 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.

Recenzje

"It should be an invaluable reference for scholars in the field and a critical resource...." Journal of the American Statistical Association

Spis treści

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.