Predicting corruption convictions among brazilian representatives through a voting-history based network (2021)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; COLLIRI, TIAGO SANTOS - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1007/978-3-030-81484-7_4
- Subjects: REDES COMPLEXAS; CORRUPÇÃO; ELEIÇÃO PARLAMENTAR; CONDENAÇÃO CRIMINAL; BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature
- Publisher place: Cham
- Date published: 2021
- Source:
- Título: Corruption networks : concepts and applications
- Volume/Número/Paginação/Ano: 158 p
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. Predicting corruption convictions among brazilian representatives through a voting-history based network. Corruption networks : concepts and applications. Tradução . Cham: Springer Nature, 2021. . Disponível em: https://doi.org/10.1007/978-3-030-81484-7_4. Acesso em: 01 mar. 2026. -
APA
Colliri, T. S., & Liang, Z. (2021). Predicting corruption convictions among brazilian representatives through a voting-history based network. In Corruption networks : concepts and applications. Cham: Springer Nature. doi:10.1007/978-3-030-81484-7_4 -
NLM
Colliri TS, Liang Z. Predicting corruption convictions among brazilian representatives through a voting-history based network [Internet]. In: Corruption networks : concepts and applications. Cham: Springer Nature; 2021. [citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/978-3-030-81484-7_4 -
Vancouver
Colliri TS, Liang Z. Predicting corruption convictions among brazilian representatives through a voting-history based network [Internet]. In: Corruption networks : concepts and applications. Cham: Springer Nature; 2021. [citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/978-3-030-81484-7_4 - A network-based model for optimizing returns in the stock market
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Informações sobre o DOI: 10.1007/978-3-030-81484-7_4 (Fonte: oaDOI API)
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