Social Network Analysis
Methods and Applications
Published on 27. January 1995
Book
Hardback
857 pages
978-0-521-38269-4 (ISBN)
Description
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.
Reviews / Votes
"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 MethodsMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
67 Tables, unspecified; 115 Line drawings, unspecified
Dimensions
Height: 237 mm
Width: 157 mm
Thickness: 48 mm
Weight
1295 gr
ISBN-13
978-0-521-38269-4 (9780521382694)
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Schweitzer Classification
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Book
11/1994
Cambridge University Press
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E-Book
11/2012
1st Edition
Cambridge University Press
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Available for download
Book
11/1994
Cambridge University Press
€86.00
Shipment within 15-20 days
Persons
Content
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.