Generalized Blockmodeling

Vladimir Batagelj author Patrick Doreian author Anuska Ferligoj author

Format:Hardback

Publisher:Cambridge University Press

Published:8th Nov '04

Currently unavailable, and unfortunately no date known when it will be back

Generalized Blockmodeling cover

This book provides an integrated treatment of generalized blockmodeling appropriate for the analysis network structures.

This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. The authors propose direct optimizational approaches to blockmodeling which yield blockmodels that best fit the network data. Generalizations and the deductive use of blockmodeling are proposed while substantive implications are explored.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.

'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

ISBN: 9780521840859

Dimensions: 229mm x 152mm x 27mm

Weight: 760g

402 pages