Resilience in criminal networks

Autori

  • Salvatore Catanese Università degli Studi di Messina
  • Pasquale De Meo Università degli Studi di Messina
  • Giacomo Fiumara Università degli Studi di Messina

DOI:

https://doi.org/10.1478/AAPP.942A1

Parole chiave:

Criminal Networks, Social Network Analysis, Resilience

Abstract

Resilience identifies the ability of criminal networks to face pressures from law enforcement agencies and rapidly reorganize after perturbations or destabilizing attacks. Apart from environmental considerations, this concept is strongly tied to the topology of criminal networks which, unlike social networks, can be configured as hierarchical, cellular (or modular), flat or, even more frequently, as a combination of them. Resilience has implications in the techniques of investigation of law enforcement agencies especially during the phases of information gathering or planning of police actions. In this paper we review concepts and methods derived from Social Network Analysis and apply them to study the resilience of a criminal network. We also examine the evolution of a criminal network operating in Sicily (Italy), before and after the counter-actions of police agencies. We also show how the resilience of the network originated and the features that enable the dynamical reshaping of the criminal networks so as to continue illegal activities.

Biografie autore

  • Salvatore Catanese, Università degli Studi di Messina
    Dipartimento di Scienze Matematiche e Informatiche, Svienze Fisiche e Scienze della Terra
  • Pasquale De Meo, Università degli Studi di Messina
    Dipartimento di Civiltà Antiche e Moderne
  • Giacomo Fiumara, Università degli Studi di Messina
    Dipartimento di Scienze Matematiche e Informatiche, Svienze Fisiche e Scienze della Terra

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Pubblicato

2016-05-13

Fascicolo

V. 94 N. 2 (2016)

Sezione

Articoli

Licenza

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