Covers methods for the analysis of social networks and applies them
to examples.
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.
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.
This book reviews and discusses methods for the analysis of social
networks with a focus on applications of these methods to many
substantive examples. As the first book to provide comprehensive
coverage of the methodology and applications of the field, it is
both a reference book and a textbook.
Covers methods for the analysis of social networks and applies them
to examples.
"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
Inhaltsangabe
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.
