Network structure and resilience of Mafia syndicates

被引:48
|
作者
Agreste, Santa [1 ]
Catanese, Salvatore [1 ,2 ]
De Meo, Pasquale [3 ]
Ferrara, Emilio [4 ]
Fiumara, Giacomo [1 ]
机构
[1] Univ Messina, Dept Math & Informat, I-98100 Messina, Italy
[2] Univ Catania, Dept Math & Informat, I-95124 Catania, Italy
[3] Univ Messina, Dept Ancient & Modern Civilizat, I-98100 Messina, Italy
[4] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA
关键词
Social network analysis; Network science; Criminal networks; Mobile phone data; FRAMEWORK; CRIME;
D O I
10.1016/j.ins.2016.02.027
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we present the results of our study of Sicilian Mafia organizations using social network analysis. The study investigates the network structure of a Mafia syndicate, describing its evolution and highlighting its plasticity to membership-targeting interventions and its resilience to disruption caused by police operations. We analyze two different datasets dealing with Mafia gangs that were built by examining different digital trails and judicial documents that span a period of ten years. The first dataset includes the phone contacts among suspected individuals, and the second captures the relationships among individuals actively involved in various criminal offenses. Our report illustrates the limits of traditional investigative methods like wiretapping. Criminals high up in the organization hierarchy do not occupy the most central positions in the criminal network, and oftentimes do not appear in the reconstructed criminal network at all. However, we also suggest possible strategies of intervention. We show that, although criminal networks (i.e., the network encoding mobsters and crime relationships) are extremely resilient to different kinds of attacks, contact networks (i.e., the network reporting suspects and reciprocated phone calls) are much more vulnerable, and their analysis can yield extremely valuable insights. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:30 / 47
页数:18
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