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.

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

Contents List of Notation List of Tables List of Illustrations Preface Part I: Networks, Relations, and Structure 1 Social Network Analysis in the Social and Behavioral Sciences 2 Social Network Data Part II: Mathematical Representations of Social Networks 3 Notation for Social Network Data 4 Graphs and Matrices Part III: Structural and Locational Properties 5 Centrality and Prestige 6 Structural Balance and Transitivity 7 Cohesive Subgroups 8 Affiliations 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 Stocbastic Blockmodels and Goodness-of-Fit Indices Part VII: Epilogue 17 Future Directions Appendix A Computer Programs Appendix B Data References Name Index Subject Index List of Notation