Measuring Link Importance in Terrorist Networks

被引:20
作者
Wiil, Uffe Kock [1 ]
Gniadek, Jolanta [1 ]
Memon, Nasrullah [1 ]
机构
[1] Univ Southern Denmark, Maersk Mc Kinney Moller Inst, Counterterrorism Res Lab, Campusvej 55, DK-5230 Odense M, Denmark
来源
2010 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2010) | 2010年
关键词
Social network analysis; terrorist network analysis; graph theory; transportation networks; CrimeFighter Assistant;
D O I
10.1109/ASONAM.2010.29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A terrorist network is a special kind of social network with emphasis on both secrecy and efficiency. Such networks are intentionally structured to ensure efficient communication between members without being detected. A terrorist network can be modeled as a generalized network (graph) consisting of nodes and links. Techniques from social network analysis and graph theory can be used to identify key entities in the network, which is helpful for network destabilization purposes. Research on terrorist network analysis has mainly focuses on analysis of nodes, which is in contrast to the fact that the links between the nodes provide at least as much relevant information about the network as the nodes themselves. This paper presents a novel method to analyze the importance of links in terrorist networks inspired by research on transportation networks. The link importance measure is implemented in CrimeFighter Assistant and evaluated on known terrorist networks.
引用
收藏
页码:225 / 232
页数:8
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