Social Network Analysis

Methods and Applications

AvStanley Wasserman,Katherine Faust

Häftad, Engelska, 1994

Del 8 i serien Structural Analysis in the Social Sciences

776 kr

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Beskrivning

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. 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. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

Produktinformation

Utgivningsdatum:1994-11-25
Mått:152 x 227 x 38 mm
Vikt:1 152 g
Format:Häftad
Språk:Engelska
Serie:Structural Analysis in the Social Sciences
Antal sidor:857
Förlag:Cambridge University Press
ISBN:9780521387071

Utforska kategorier

Sociologi inom Samhälle och politik

Recensioner i media

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

Innehållsförteckning

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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