PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Generalized blockmodeling
Patrick Doreian, Vladimir Batagelj and Anuška Ferligoj
(2005) Structural analysis in the social sciences , Volume 25 . Cambridge University Press , Cambridge, UK . ISBN 0-521-84085-6

Abstract

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.

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:2872
Deposited By:Primož Lukšic
Deposited On:22 November 2006