Analyzing Terrorist Networks: A Case Study of the Global Salafi Jihad Network
Analyzing Terrorist Networks: A Case Study of the Global Salafi Jihad Network
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DOI：
10.1007/11427995_24
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发表时间：
2005-05
期刊：
影响因子：
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通讯作者：
Jialun Qin;J. Xu;Daning Hu;M. Sageman;Hsinchun Chen
中科院分区：
文献类型：
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作者：
Jialun Qin;J. Xu;Daning Hu;M. Sageman;Hsinchun Chen
了解恐怖主义网络的功能和结构对我们赢得反恐斗争至关重要。然而，以往对恐怖主义网络结构的研究几乎没有产生可采取行动的结果。这主要是由于难以收集和获取可靠的数据，以及在实地缺乏先进的网络分析方法。为了解决这些问题，我们采用了几种先进的网络分析技术，从社会网络分析到Web结构挖掘的全球圣战组织网络数据集收集通过大规模的实证研究。我们的研究证明了先进的网络技术在恐怖分子网络分析领域的有效性和实用性。我们还将Web结构挖掘技术引入到恐怖分子网络分析领域，据我们所知，这是一个从未在该领域使用过的技术。更重要的是，我们的分析结果不仅为恐怖主义研究界提供了见解，而且还提供了经验意义，可能有助于执法、情报和安全界使我们的国家更加安全。
It is very important for us to understand the functions and structures of terrorist networks to win the battle against terror. However, previous studies of terrorist network structure have generated little actionable results. This is mainly due to the difficulty in collecting and accessing reliable data and the lack of advanced network analysis methodologies in the field. To address these problems, we employed several advance network analysis techniques ranging from social network analysis to Web structural mining on a Global Salafi Jihad network dataset collected through a large scale empirical study. Our study demonstrated the effectiveness and usefulness of advanced network techniques in terrorist network analysis domain. We also introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been used in this domain. More importantly, the results from our analysis provide not only insights for terrorism research community but also empirical implications that may help law-reinforcement, intelligence, and security communities to make our nation safer.