Patrick Doreian

Generalized Blockmodeling (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks. Also provided is an integrated treatment of algebraic and graph theoretic concepts for network analysis and a broad introduction to cluster analysis. These formal ideas are the foundations for the authors' proposal for direct optimizational approaches to blockmodeling which yield blockmodels that best fit the data, a measure of fit that is integral to the establishment of blockmodels, and creates the potential for many generalizations and a deductive use of blockmodeling.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 8. November 2004
• Englisch
• ISBN-13: 9780511079368
• Artikelnr.: 38209060

Autorenporträt

Patrick Doreian is a Professor of Sociology and Statistics at the University of Pittsburgh and is chair of the Department of Sociology. He has edited the Journal of Mathematical Sociology since 1982 and has been a member of the editorial board for Social Networks since 2003. He was a Centennial Professor at The London School of Economics during 2002. He has been a Visiting Professor at the University of California-Irvine and the University of Ljubljana. His interests include social networks, mathematical sociology, interorganizational networks, environmental sociology and social movements.

Inhaltsangabe

Preface
1. Social networks and blockmodels
2. Network data sets
3. Mathematical prelude
4. Relations and graphs for network analysis
5. Clustering approaches
6. An optimizational approach to conventional blockmodeling
7. Foundations for generalized blockmodeling
8. Blockmodeling two-mode network data
9. Semirings and lattices
10. Balance theory and blockmodeling signed networks
11. Symmetric-acyclic blockmodels
12. Extending generalized blockmodeling
Bibliography
Author index
Subject index.