Colliri, Tiago Santos 
; Liang, Zhao
Source: Corruption networks : concepts and applications. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, CORRUPÇÃO, ELEIÇÃO PARLAMENTAR, CONDENAÇÃO CRIMINAL, BRASIL
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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: 08 out. 2025.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_4NLM
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 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-030-81484-7_4Vancouver
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 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-030-81484-7_4
