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Analyzing Dynamic Ideological Communities in Congressional Voting Networks

C. H. G. Ferreira,B. Matos,Jussara M. Almeida

Published 2018 in Social Informatics

ABSTRACT

We here study the behavior of political party members aiming at identifying how ideological communities are created and evolve over time in diverse (fragmented and non-fragmented) party systems. Using public voting data of both Brazil and the US, we propose a methodology to identify and characterize ideological communities, their member polarization, and how such communities evolve over time, covering a 15-year period. Our results reveal very distinct patterns across the two case studies, in terms of both structural and dynamic properties.

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