Aleks Jakulin and Wray Buntine (2004) Analyzing the US Senate in 2003: Similarities, Networks, Clusters and Blocs.
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To analyze the roll calls in the US Senate in year 2003, we have employed the methods already used throughout the science community for analysis of genes, surveys and text. With information-theoretic measures we assess the association between pairs of senators based on the votes they cast. Furthermore, we can evaluate the influence of a voter by postulating a Shannon information channel between the outcome and a voter. The matrix of associations can be summarized using hierarchical clustering, multi-dimensional scaling and link analysis. With a discrete latent variable model we identify blocs of cohesive voters within the Senate, and contrast it with continuous ideal point methods. Under the bloc-voting model, the Senate can be interpreted as a weighted vote system, and we were able to estimate the empirical voting power of individual blocs through what-if analysis.
|Keywords:||political science, data mining, roll call, clustering, latent variable analysis|
|Language of Content:||English|
|Institution:||University of Ljubljana|
|Department:||Faculty of Computer and Information Science|
|Divisions:||Faculty of Computer and Information Science > Artificial Intelligence Laboratory|
|Date Deposited:||27 Oct 2004|
|Last Modified:||13 Aug 2011 00:32|
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