Modeling dynamic ideological behavior in political networks.
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Date
2019
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Abstract
In this article, we model and analyze the dynamic behavior of political networks, both at the individual (party
member) and ideological community levels. Our study relies on public data covering 15 years of voting sessions
of the House of Representatives of two diverse party system, namely, Brazil and the United States. While the
former is an example of a highly fragmented party system, the latter illustrates the case of a highly polarized and
non-fragmented system. We characterize the ideological communities, their member polarization and how such
communities evolve over time. Also, we propose a temporal-ideological space model, based on temporal vertex
embeddings, which allows us to assess the individual changes in ideological behavior over time, as expressed by
the party members’ voting patterns. Our results unveil very distinct patterns across the two case studies, both in
terms of structural and dynamic properties.
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Keywords
Dynamic behavior model, Temporal node embedding, Community evolution, Political networks
Citation
FERREIRA, C. H. G.; FERREIRA, F. M. ; SOUZA, B. M de.; et al. Modeling dynamic ideological behavior in political networks. The Journal of Web Science, v. 7, 2019. Disponível em: <https://webscience-journal.net/webscience/article/view/80>. Acesso em: 29 abr. 2022.