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Analyzing the U.S. Senate in 2003: Similarities, Clusters, and Blocs

Jackulin, Aleks; Buntine, Wray; La Pira, Timothy; Brasher, Holly


In this paper, we apply information theoretic measures to voting in the U.S. Senate in 2003. We assess the associations between pairs of senators and groups of senators based on the votes they cast. For pairs, we use similarity-based methods, including hierarchical clustering and multidimensional scaling. To identify groups of senators, we use principal component analysis. We also apply a discrete multinomial latent variable model that we have developed. In doing so, we identify blocs of...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: Political Analysis
DOI: 10.1093/pan/mpp006


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