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.

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Covers methods for the analysis of social networks and applies them to examples.

Reviews

"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