Generalized Blockmodeling

ISBN-13: 9780521840859 / Angielski / Twarda / 2004 / 402 str.

Patrick Doreian; Vladimir Batagelj; Anuska Ferligoj

Opis

After establishing its mathematical foundations, this integrated study of blockmodeling, the most frequently used technique in social network analysis, generalizes blockmodeling for the examination of many network structures. It also includes a broad introduction to cluster analysis. The authors propose direct optimizational approaches to blockmodeling which yield blockmodels that best fit the data, and create the potential for many generalizations and a deductive use of blockmodeling.

Recenzje

'This is a clearly presented and insightful book that provides an excellent mix of mathematical rigor and practical application. I would unhesitatingly recommend the book to anyone interested in social network analysis or discrete clustering methods.' Journal of Classification

Spis treści

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.