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