Connected Colors: Unveiling the Structure of Criminal Networks

2013 ◽  
pp. 390-410 ◽  
Author(s):  
Yacin Nadji ◽  
Manos Antonakakis ◽  
Roberto Perdisci ◽  
Wenke Lee
Keyword(s):  
Criminal Networks

scholarly journals Criminal networks analysis in missing data scenarios through graph distances

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255067
Author(s):  
Annamaria Ficara ◽  
Lucia Cavallaro ◽  
Francesco Curreri ◽  
Giacomo Fiumara ◽  
Pasquale De Meo ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Incomplete Data ◽  
Law Enforcement Agencies ◽  
Criminal Networks ◽  
Criminal Organizations ◽  
Edge Removal ◽  
Graph Distances ◽  
Intentional Deception ◽  
Node Removal ◽  
The Impact

Data collected in criminal investigations may suffer from issues like: (i) incompleteness, due to the covert nature of criminal organizations; (ii) incorrectness, caused by either unintentional data collection errors or intentional deception by criminals; (iii) inconsistency, when the same information is collected into law enforcement databases multiple times, or in different formats. In this paper we analyze nine real criminal networks of different nature (i.e., Mafia networks, criminal street gangs and terrorist organizations) in order to quantify the impact of incomplete data, and to determine which network type is most affected by it. The networks are firstly pruned using two specific methods: (i) random edge removal, simulating the scenario in which the Law Enforcement Agencies fail to intercept some calls, or to spot sporadic meetings among suspects; (ii) node removal, modeling the situation in which some suspects cannot be intercepted or investigated. Finally we compute spectral distances (i.e., Adjacency, Laplacian and normalized Laplacian Spectral Distances) and matrix distances (i.e., Root Euclidean Distance) between the complete and pruned networks, which we compare using statistical analysis. Our investigation identifies two main features: first, the overall understanding of the criminal networks remains high even with incomplete data on criminal interactions (i.e., when 10% of edges are removed); second, removing even a small fraction of suspects not investigated (i.e., 2% of nodes are removed) may lead to significant misinterpretation of the overall network.

scholarly journals Social ties between criminal networks in cocaine trafficking in Europe

Crimen ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 325-345
Author(s):  
Kosara Stevanović
Keyword(s):  
Latin American ◽  
Organized Crime ◽  
Network Theory ◽  
Social Ties ◽  
Social Embeddedness ◽  
Criminal Networks ◽  
Criminal Network ◽  
The Social ◽  
Criminal Groups ◽  
In The Beginning

This paper is highlighting the main criminal networks that are trafficking cocaine in Europe, through the lenses of social embeddedness and criminal network theories. We will try to show that social ties between European and Latin American organized crime networks, as well as between different European crime networks, are the main reason for the staggering success of European criminal groups in cocaine trafficking in the 21st century. In the beginning, we lay out the social embeddedness theory and criminal network theory, and then we review the main criminal networks involved in cocaine trafficking in Europe and social ties between them, with special attention to Serbian and Montenegrin criminal networks. At the end of the article, we analyze what role does ethnicity, seen as social ties based on common language and tradition, play in cocaine trafficking in Europe.

Economia criminale e mondo degli affari a Tangeri

TERRITORIO ◽  
2009 ◽  
pp. 119-123
Author(s):  
Michel Péraldi
Keyword(s):  
Production Process ◽  
Physical Violence ◽  
Urban Community ◽  
General Term ◽  
Transnational Networks ◽  
Local Context ◽  
Criminal Networks ◽  
Urban Background ◽  
Local Cultures

- The general term criminal economy usually denotes those activities which involve the production, circulation and sale of products that are prohibited from a moral or legal viewpoint, where the organisation and production of these includes a component of physical violence either actually or potentially present in the organisation and in the production process. Finally it is conducted by marginal or deviant individuals and groups under conditions of total or relative clandestinity. In the case of Tangiers, the weak traits of criminal networks stand out against a strong urban background where local cultures and the convenience of commerce in cannabis combine. The negotiated and temporary nature of both the cultural and the organisational arrangements emerge, which are also consistent with a complex urban community, projected at the same time onto the local context and transnational networks.

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