Modeling dynamic ideological behavior in political networks.

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dc.contributor.authorFerreira, Carlos Henrique Gomes
dc.contributor.authorFerreira, Fabrício Murai
dc.contributor.authorSouza, Breno Matos de
dc.contributor.authorAlmeida, Jussara Marques de
dc.date.accessioned2022-09-15T19:25:30Z
dc.date.available2022-09-15T19:25:30Z
dc.date.issued2019pt_BR
dc.description.abstractIn 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.pt_BR
dc.identifier.citationFERREIRA, 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.pt_BR
dc.identifier.doihttps://doi.org/10.34962/jws-80pt_BR
dc.identifier.issn2332-4031
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/15301
dc.identifier.uri2https://webscience-journal.net/webscience/article/view/80pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectDynamic behavior modelpt_BR
dc.subjectTemporal node embeddingpt_BR
dc.subjectCommunity evolutionpt_BR
dc.subjectPolitical networkspt_BR
dc.titleModeling dynamic ideological behavior in political networks.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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