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A Policy-oriented Agent-based Model of Recruitment into Organized Crime
arXiv - CS - Multiagent Systems Pub Date : 2020-01-10 , DOI: arxiv-2001.03494
Gian Maria Campedelli, Francesco Calderoni, Mario Paolucci, Tommaso Comunale, Daniele Vilone, Federico Cecconi, and Giulia Andrighetto

Criminal organizations exploit their presence on territories and local communities to recruit new workforce in order to carry out their criminal activities and business. The ability to attract individuals is crucial for maintaining power and control over the territories in which these groups are settled. This study proposes the formalization, development and analysis of an agent-based model (ABM) that simulates a neighborhood of Palermo (Sicily) with the aim to understand the pathways that lead individuals to recruitment into organized crime groups (OCGs). Using empirical data on social, economic and criminal conditions of the area under analysis, we use a multi-layer network approach to simulate this scenario. As the final goal, we test different policies to counter recruitment into OCGs. These scenarios are based on two different dimensions of prevention and intervention: (i) primary and secondary socialization and (ii) law enforcement targeting strategies.

中文翻译:

一种以政策为导向的基于代理的有​​组织犯罪招募模型

犯罪组织利用其在领土和当地社区的存在来招募新的劳动力,以开展犯罪活动和业务。吸引个人的能力对于维持权力和控制这些群体定居的领土至关重要。本研究提议对模拟巴勒莫(西西里岛)附近的基于代理的模型 (ABM) 进行形式化、开发和分析,目的是了解导致个人被招募到有组织犯罪集团 (OCG) 的途径。使用所分析地区的社会、经济和犯罪状况的经验数据,我们使用多层网络方法来模拟这种情况。作为最终目标,我们测试了不同的政策来对抗 OCG 的招聘。
更新日期:2020-01-13
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