Bifurcations in a Model of Criminal Organizations and a Corrupt Judiciary

Let a population be composed of members of a criminal organization and judges of the judicial system, in which the judges can be co-opted by this organization. In this article, a model written as a set of four nonlinear differential equations is proposed to investigate this population dynamics. The impact of the rate constants related to judges' co-optation and ex-convicts' recidivism on the population composition is explicitly examined. This analysis reveals that the proposed model can experience backward and transcritical bifurcations. Also, if all ex-convicts relapse, organized crime cannot be eradicated even in the absence of corrupt judges. The results analytically derived here are illustrated by numerical simulations and discussed from a crime-control perspective.

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Publication Details

Journal
Entropy
Published
2024-10-25
DOI
https://doi.org/10.3390/e26110906
Citations
1
Primary Topic
Crime, Illicit Activities, and Governance
Type
article
Field-Weighted Citation Impact
1.13

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article

Bifurcations in a Model of Criminal Organizations and a Corrupt Judiciary

G. S. Harari, L.H.A. Monteiro
1 citations
Entropy
Crime, Illicit Activities, and Governance
1.13
article

Bifurcations in a Model of Criminal Organizations and a Corrupt Judiciary

G. S. Harari, L.H.A. Monteiro
article en
1 citations

Abstract

Let a population be composed of members of a criminal organization and judges of the judicial system, in which the judges can be co-opted by this organization. In this article, a model written as a set of four nonlinear differential equations is proposed to investigate this population dynamics. The impact of the rate constants related to judges' co-optation and ex-convicts' recidivism on the population composition is explicitly examined. This analysis reveals that the proposed model can experience backward and transcritical bifurcations. Also, if all ex-convicts relapse, organized crime cannot be eradicated even in the absence of corrupt judges. The results analytically derived here are illustrated by numerical simulations and discussed from a crime-control perspective.

EntropyVol. 26(11)
Universidade de São Paulo (BR), Universidade Presbiteriana Mackenzie (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Crime, Illicit Activities, and Governance
1.13
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