用于瓦解黑手党网络的人力资本与社会资本策略
Human and social capital strategies for Mafia network disruption
AI总结：
本文利用社会网络分析比较七种针对真实黑手党网络及Barabási-Albert模型的瓦解策略，发现基于社会资本的节点移除能以最少步骤彻底摧毁网络。
摘要：
社会网络分析（Social Network Analysis，SNA）是一门跨学科科学，专注于发现个体互动的模式。具体而言，实务工作者已利用SNA来描述和分析犯罪网络，以凸显子群体、关键行动者、优势与弱点，从而生成瓦解干预措施和犯罪预防系统。本文采用SNA工具，考察了针对两个真实黑手党网络的共七种瓦解策略的有效性。研究测试了三种针对具有高社会资本行动者的干预措施，以及三种针对具有高人力资本行动者的干预措施，并将它们相互比较，同时与随机节点移除进行比较。人力资本和社会资本方法也被应用于Barabási-Albert模型，这些模型最能代表犯罪网络。仿真表明，基于社会资本的行动者移除被证明是最有效的策略，能够以最少的步骤导致犯罪网络的完全瓦解。移除黑手党家族中的特定角色（如Caporegime）在网络瓦解中似乎也很有前景。
英文摘要：
Social Network Analysis (SNA) is an interdisciplinary science that focuses on discovering the patterns of individuals interactions. In particular, practitioners have used SNA to describe and analyze criminal networks to highlight subgroups, key actors, strengths and weaknesses in order to generate disruption interventions and crime prevention systems. In this paper, the effectiveness of a total of seven disruption strategies for two real Mafia networks is investigated adopting SNA tools. Three interventions targeting actors with a high level of social capital and three interventions targeting those with a high human capital are put to the test and compared between each other and with random node removal. Human and social capital approaches were also applied on the Barabási-Albert models which are the one which better represent criminal networks. Simulations showed that actor removal based on social capital proved to be the most effective strategy, by leading to the total disruption of the criminal network in the least number of steps. The removal of a specific figure of a Mafia family such as the Caporegime seemed also promising in the network disruption.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
