Criminal organizations tend to be clustered to reduce risks of detection and information leaks. Yet, the literature has so far neglected to explore the relevance of subgroups for their internal structure. The paper focuses on a case study drawing from a large law enforcement operation (”Operazione Infinito”). It applies methods of community analysis to explore the structure of a ’Ndrangheta (a mafia from Calabria, a southern Italian region) network representing the individuals’ co-participation in meetings. The results show that the network is significantly clustered and that communities are partially associated with the internal organization of the ’Ndrangheta into different locali (similar to mafia families). The implications of these findings on the interpretation of the structure and functioning of the criminal network are discussed.

Calderoni, F., Piccardi, C., Uncovering the Structure of Criminal Organizations by Community Analysis: The Infinito Network, Paper, in 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems, (Marrakech, 2013-11-23), IEEE Computer Society Press, Washington 2014: 301-308. 10.1109/SITIS.2014.20 [http://hdl.handle.net/10807/67498]

Uncovering the Structure of Criminal Organizations by Community Analysis: The Infinito Network

Calderoni, Francesco;
2014

Abstract

Criminal organizations tend to be clustered to reduce risks of detection and information leaks. Yet, the literature has so far neglected to explore the relevance of subgroups for their internal structure. The paper focuses on a case study drawing from a large law enforcement operation (”Operazione Infinito”). It applies methods of community analysis to explore the structure of a ’Ndrangheta (a mafia from Calabria, a southern Italian region) network representing the individuals’ co-participation in meetings. The results show that the network is significantly clustered and that communities are partially associated with the internal organization of the ’Ndrangheta into different locali (similar to mafia families). The implications of these findings on the interpretation of the structure and functioning of the criminal network are discussed.
Inglese
2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems
The 10th International Conference on Signal Image Technology & Internet Based Systems (SITIS 2014)
Marrakech
Paper
23-nov-2013
27-nov-2014
978-1-4799-7978-3
IEEE Computer Society Press
Calderoni, F., Piccardi, C., Uncovering the Structure of Criminal Organizations by Community Analysis: The Infinito Network, Paper, in 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems, (Marrakech, 2013-11-23), IEEE Computer Society Press, Washington 2014: 301-308. 10.1109/SITIS.2014.20 [http://hdl.handle.net/10807/67498]
File in questo prodotto:
File Dimensione Formato  
Calderoni & Piccardi 2014 Uncovering the structure AAM.pdf

accesso aperto

Descrizione: This is the accepted version of: Calderoni, Francesco, and Carlo Piccardi. 2014. “Uncovering the Structure of Criminal Organizations by Community Analysis: The Infinito Network.” In 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), 301–8. Marrakech: IEEE Computer Society Press. doi:10.1109/SITIS.2014.20. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tipologia file ?: Postprint (versione finale dell’autore successiva alla peer-review)
Licenza: Non specificato
Dimensione 198.84 kB
Formato Adobe PDF
198.84 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/67498
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 9
social impact