在隐蔽网络中检测关键区域:以9/11恐怖分子网络为例

N. Memon, K. C. Kristoffersen, D. Hicks, H.L. Larsen
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引用次数: 24

摘要

本文介绍了在社会网络分析(SNA)中讨论的结构内聚的研究,但也可以用于其他几个重要的应用领域,包括破坏恐怖主义网络稳定的调查数据挖掘。结构内聚被定义为参与者的数量,如果从一个群体中移除,将会断开这个群体。在本文中,我们讨论了结构内聚的概念,如集团,n-集团,n-氏族和k-plex,以确定熟悉度,鲁棒性和可达性在9/11恐怖分子网络的子群。此外,我们还提出了一种检测隐蔽网络中关键区域的方法;移除/捕获这些节点将破坏大部分网络
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notice of Violation of IEEE Publication PrinciplesDetecting Critical Regions in Covert Networks: A Case Study of 9/11 Terrorists Network
This paper presents the study of structural cohesion which is discussed in social network analysis (SNA), but can also be used in several other important application areas including investigative data mining for destabilizing terrorist networks. Structural cohesion is defined as the number of actors who, if removed from a group, would disconnect the group. In this paper we discuss structural cohesion concepts, such as cliques, n-cliques, n-clans and k-plex to determine familiarity, robustness and reachability within subgroups of the 9/11 terrorist network. Moreover we also propose a methodology of detecting critical regions in covert networks; removing/capturing those nodes will disrupt most of the network
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