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Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network

Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data collected is classified. Therefore, little is known about the structure, topological weaknesses,...

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Detalles Bibliográficos
Autores principales: da Cunha, Bruno Requião, Gonçalves, Sebastián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214327/
https://www.ncbi.nlm.nih.gov/pubmed/30839817
http://dx.doi.org/10.1007/s41109-018-0092-1
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author da Cunha, Bruno Requião
Gonçalves, Sebastián
author_facet da Cunha, Bruno Requião
Gonçalves, Sebastián
author_sort da Cunha, Bruno Requião
collection PubMed
description Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data collected is classified. Therefore, little is known about the structure, topological weaknesses, and control of criminal networks. We fill this gap by presenting a unique criminal intelligence network built directly by the Brazilian Federal Police for intelligence and investigative purposes. We study its structure, its response to different attack strategies, and its structural controllability. Surprisingly, the network composed of individuals involved in multiple crimes of federal jurisdiction in Brazil has a giant component enclosing more than half of all its edges. We focus on the largest connected cluster of this network and show it has many social network features, such as small-worldness and heavy-tail degree distribution. However, it is less dense and less efficient than typical social networks. The giant component also shows a high degree cutoff that is associated with the lack of trust among individuals belonging to clandestine networks. The giant component of the network is also highly modular (Q=0.96) and thence fragile to module-based attacks. The targets in such attacks, i.e. the nodes connecting distinct communities, may be interpreted as individuals with bridging clandestine activities such as accountants, lawyers, or money changers. The network can be disrupted by the removal of approximately 2% of either its nodes or edges, the negligible difference between both approaches being due to low graph density. Finally, we show that 20% of driver nodes can control dynamic variables acting on the whole network, suggesting that non-repressive strategies such as access to basic education or sanitation can be effective in reducing criminality by changing the perception of driver individuals to norm compliance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41109-018-0092-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62143272018-11-13 Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network da Cunha, Bruno Requião Gonçalves, Sebastián Appl Netw Sci Research Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data collected is classified. Therefore, little is known about the structure, topological weaknesses, and control of criminal networks. We fill this gap by presenting a unique criminal intelligence network built directly by the Brazilian Federal Police for intelligence and investigative purposes. We study its structure, its response to different attack strategies, and its structural controllability. Surprisingly, the network composed of individuals involved in multiple crimes of federal jurisdiction in Brazil has a giant component enclosing more than half of all its edges. We focus on the largest connected cluster of this network and show it has many social network features, such as small-worldness and heavy-tail degree distribution. However, it is less dense and less efficient than typical social networks. The giant component also shows a high degree cutoff that is associated with the lack of trust among individuals belonging to clandestine networks. The giant component of the network is also highly modular (Q=0.96) and thence fragile to module-based attacks. The targets in such attacks, i.e. the nodes connecting distinct communities, may be interpreted as individuals with bridging clandestine activities such as accountants, lawyers, or money changers. The network can be disrupted by the removal of approximately 2% of either its nodes or edges, the negligible difference between both approaches being due to low graph density. Finally, we show that 20% of driver nodes can control dynamic variables acting on the whole network, suggesting that non-repressive strategies such as access to basic education or sanitation can be effective in reducing criminality by changing the perception of driver individuals to norm compliance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41109-018-0092-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-08-24 2018 /pmc/articles/PMC6214327/ /pubmed/30839817 http://dx.doi.org/10.1007/s41109-018-0092-1 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
da Cunha, Bruno Requião
Gonçalves, Sebastián
Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title_full Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title_fullStr Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title_full_unstemmed Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title_short Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network
title_sort topology, robustness, and structural controllability of the brazilian federal police criminal intelligence network
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214327/
https://www.ncbi.nlm.nih.gov/pubmed/30839817
http://dx.doi.org/10.1007/s41109-018-0092-1
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