多层网络分析：西西里黑手党行动中关键角色的识别
Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
摘要：
最近，社会网络分析的研究已经导致了现有工具的改进和推广到具有多个子系统和连接层的网络。这种网络通常被称为多层网络。多层网络中的每一层与网络中的其他某个层共享至少一个节点，这种多层网络称为多路复用网络。作为一个多路复用网络并不要求所有节点都存在于每一层上。在本文中，我们建立了一个犯罪多元化网络，涉及一个反黑手党的行动称为“蒙塔格纳”，它是基于审查的审前拘留令发出的2007年3月14日由法官初步调查的墨西拿法院（西西里岛）。《Montagna》聚焦于两个黑手党家族，分别叫“Mistretta”和“Batanesi”，他们通过一个与西西里黑手党关系密切的企业家卡特尔渗透到西西里东北部的几项经济活动中，包括公共工程。最初，我们推导出两个单层网络，前者捕获嫌疑人之间的会议，后者记录电话。但是，一些网络系统可以更好地通过多层结构来建模，其中各个节点在多层中发展关系。因此，我们从单层网络构建了一个双层网络。这两个层共享47个节点。我们遵循三种不同的方法来衡量多层网络中的节点的重要性，使用度作为描述符。我们的分析可以帮助识别犯罪网络中的关键参与者。
英文摘要：
Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with multiple subsystems and layers of connectivity. These kind of networks are usually called multilayer networks. Multilayer networks in which each layer shares at least one node with some other layer in the network are called multiplex networks. Being a multiplex network does not require all nodes to exist on every layer. In this paper, we built a criminal multiplex network which concerns an anti-mafia operation called "Montagna" and it is based on the examination of a pre-trial detention order issued on March 14, 2007 by the judge for preliminary investigations of the Court of Messina (Sicily). "Montagna" focus on two Mafia families called "Mistretta" and "Batanesi" who infiltrated several economic activities including the public works in the north-eastern part of Sicily, through a cartel of entrepreneurs close to the Sicilian Mafia. Originally we derived two single-layer networks, the former capturing meetings between suspected individuals and the latter recording phone calls. But some networked systems can be better modeled by multilayer structures where the individual nodes develop relationships in multiple layers. For this reason we built a two-layer network from the single-layer ones. These two layers share 47 nodes. We followed three different approaches to measure the importance of nodes in multilayer networks using degree as descriptor. Our analysis can aid in the identification of key players in criminal networks.
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。
