Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)

Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)

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Katherine Faust, Stanley Wasserman
Cambridge University Press, 11/25/1994
EAN 9780521387071, ISBN10: 0521387078

Paperback, 857 pages, 22.7 x 15.2 x 3.8 cm
Language: English

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.

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.