研究论文

基于级联效应的恐怖组织网络抗毁性研究

  • 李本先;李孟军;孙多勇
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  • 国防科学技术大学信息系统与管理学院,长沙 410073

收稿日期: 2012-12-07

  修回日期: 2013-01-31

  网络出版日期: 2013-04-18

Invulnerability of Terrorism Organization Network Based on Cascade Effect

  • LI Benxian;LI Mengjun;SUN Duoyong
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  • School of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received date: 2012-12-07

  Revised date: 2013-01-31

  Online published: 2013-04-18

摘要

应用动态社会网络方法分析了恐怖组织的网络结构及抗毁性,并对其网络进行了选择性的攻击.首先对其人员网络进行攻击,先从中间层进行打击,再根据网络的中心性实施攻击;其次应用图论中求最小割集的方法寻找其行动网络的脆弱性,对其增广链实施攻击.与传统的打击方法相比,该方法具有更强的优越性,恐怖组织的整体网络更容易被破坏.

本文引用格式

李本先;李孟军;孙多勇 . 基于级联效应的恐怖组织网络抗毁性研究[J]. 科技导报, 2013 , 31(11) : 18 -27 . DOI: 10.3981/j.issn.1000-7857.2013.11.001

Abstract

A dynamic society network analysis method is adapted to study terrorism organization structure and its invulnerability. Firstly, a selective attack method is proposed to destroy terrorism organization network. Secondly, the mesosphere is attacked, and then other segments are attacked according to the degree-distribution centralities of network. The minimal-cut set of graph theory is applied to scout the terrorism network of invulnerability and attack its augmentable chain. The experimental results show that these methods precede traditional attacking methods. It is easy to destroy the entire terrorism organization network.
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