Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks (2019)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; COLLIRI, TIAGO SANTOS - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1038/s41598-019-53252-9
- Subjects: REDES COMPLEXAS; ANÁLISE DE SÉRIES TEMPORAIS; CONGRESSO NACIONAL; CORRUPÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v. 9, p. 16754-1-16754-11, Nov. 2019
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, v. No 2019, p. 16754-1-16754-11, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-53252-9. Acesso em: 26 abr. 2024. -
APA
Colliri, T. S., & Liang, Z. (2019). Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks. Scientific Reports, No 2019, 16754-1-16754-11. doi:10.1038/s41598-019-53252-9 -
NLM
Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1038/s41598-019-53252-9 -
Vancouver
Colliri TS, Liang Z. Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks [Internet]. Scientific Reports. 2019 ; No 2019 16754-1-16754-11.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1038/s41598-019-53252-9 - An optimized modularity-based high level classification model
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Informações sobre o DOI: 10.1038/s41598-019-53252-9 (Fonte: oaDOI API)
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