Ferreira, Carlos Henrique GomesFerreira, Fabrício MuraiSouza, Breno Matos deAlmeida, Jussara Marques de2022-09-152022-09-152019FERREIRA, 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. 2022.2332-4031http://www.repositorio.ufop.br/jspui/handle/123456789/15301In 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.en-USrestritoDynamic behavior modelTemporal node embeddingCommunity evolutionPolitical networksArtigo publicado em periodicohttps://webscience-journal.net/webscience/article/view/80https://doi.org/10.34962/jws-80