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恐怖组织网络的时空演化规律

李本先 李孟军 方锦清 仰琎歆

李本先, 李孟军, 方锦清, 仰琎歆. 恐怖组织网络的时空演化规律. 自动化学报, 2013, 39(6): 770-779. doi: 10.3724/SP.J.1004.2013.00770
引用本文: 李本先, 李孟军, 方锦清, 仰琎歆. 恐怖组织网络的时空演化规律. 自动化学报, 2013, 39(6): 770-779. doi: 10.3724/SP.J.1004.2013.00770
LI Ben-Xian, LI Meng-Jun, FANG Jin-Qing, YANG Jin-Xin. Empirical Study on Spatiotemporal Evolution of Terrorism Organization Network. ACTA AUTOMATICA SINICA, 2013, 39(6): 770-779. doi: 10.3724/SP.J.1004.2013.00770
Citation: LI Ben-Xian, LI Meng-Jun, FANG Jin-Qing, YANG Jin-Xin. Empirical Study on Spatiotemporal Evolution of Terrorism Organization Network. ACTA AUTOMATICA SINICA, 2013, 39(6): 770-779. doi: 10.3724/SP.J.1004.2013.00770

恐怖组织网络的时空演化规律

doi: 10.3724/SP.J.1004.2013.00770
基金项目: 

国家自然科学基金(61174151, 60874087)和中国原子能研究院基金(YZ2011-20)资助

详细信息
    通讯作者:

    李本先

Empirical Study on Spatiotemporal Evolution of Terrorism Organization Network

Funds: 

Supported by National Natural Science Foundation of China(61174151, 60874087)and China Institute of Atomic Energy Science Foundation(YZ2011-20)

  • 摘要: 为了理解恐怖组织网络的时空演化特性及形成机理,本文运用统计物理学方法,结合Multi-agent,提出了一个恐怖组织网络的时空演化模型, 并对恐怖组织网络的演化规律进行了数值模拟研究.模拟过程中考虑了恐怖组织网络在时间与空间上节点与边的动态联结变化.研究发现:网络演化过程中, 恐怖组织的网络演化不仅兼具小世界、无标度特性和等级结构,不同级别的中心节点将网络连为一体,而且存在促进恐怖网络不断演化的主要因素, 即与恐怖分子信念的增加及环境资源的增长有关; 反恐方的选择性打击对网络的增长具有抑制作用和一定的控制效果.
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出版历程
  • 收稿日期:  2012-10-10
  • 修回日期:  2012-10-26
  • 刊出日期:  2013-06-20

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