Brazilian political study with topics analysis and complex networks (2025)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; ROMERO, ROSELI APARECIDA FRANCELIN - ICMC ; TOLEDO JUNIOR, TIAGO JOSÉ DE OLIVEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-70421-5_12
- Subjects: REDES COMPLEXAS; ANÁLISE DE TEXTO; CÂMARA DOS DEPUTADOS
- Keywords: Complex Networks; Topics Analysis; Political Analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 2186, p. 130-141, 2025
- Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
TOLEDO JUNIOR, Tiago José de Oliveira e AMANCIO, Diego Raphael e ROMERO, Roseli Aparecida Francelin. Brazilian political study with topics analysis and complex networks. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-70421-5_12. Acesso em: 01 maio 2025. , 2025 -
APA
Toledo Junior, T. J. de O., Amancio, D. R., & Romero, R. A. F. (2025). Brazilian political study with topics analysis and complex networks. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-70421-5_12 -
NLM
Toledo Junior TJ de O, Amancio DR, Romero RAF. Brazilian political study with topics analysis and complex networks [Internet]. Communications in Computer and Information Science. 2025 ; 2186 130-141.[citado 2025 maio 01 ] Available from: https://doi.org/10.1007/978-3-031-70421-5_12 -
Vancouver
Toledo Junior TJ de O, Amancio DR, Romero RAF. Brazilian political study with topics analysis and complex networks [Internet]. Communications in Computer and Information Science. 2025 ; 2186 130-141.[citado 2025 maio 01 ] Available from: https://doi.org/10.1007/978-3-031-70421-5_12 - Complex networks applied to political analysis: group voting behavior in the brazilian congress
- Classificação de textos com redes complexas
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
- Comparing the topological properties of real and artificially generated scientific manuscripts
- Probing the topological properties of complex networks modeling short written texts
- Network analysis of named entity co-occurrences in written texts
- Word sense induction using word embeddings and community detection in complex networks
Informações sobre o DOI: 10.1007/978-3-031-70421-5_12 (Fonte: oaDOI API)
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