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复杂系统与复杂性科学  2014, Vol. 11 Issue (1): 60-66    DOI: 10.13306/j.1672-3813.2014.01.008
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网络科学在反恐研究中面临的挑战和机遇
李本先1, 江成俊1, 方锦清2
1.武警警官学院管理科学与工程系,成都 610213;
2.中国科学院原子能科学研究院核技术所,北京 102413
Network Science’s Challenges and Opportunities in Counter-Terrorism Research
LI Ben-xian1, JIANG Cheng-jun1, FANG Jin-qing2
1. The police officer college of Chinese Armed Police Force, management science and project of department, Chengdu 610213, China;
2. China Institute of Atomic Energy, Beijing 102313, China
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摘要 综述了网络科学近年来在反恐中的应用,探讨了网络科学在反恐战争应用中所面临的挑战,主要从反恐网络的数据来源、恐怖组织的网络演化及动力学行为、网络的控制及预测等方面进行研究,以期探索网络科学在大数据时代下,在未来反恐应用中,提供科学依据和发挥应有的指导作用。
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李本先
江成俊
方锦清
关键词 复杂网络反恐挑战面临的问题    
Abstract:In this paper, we discuss some application challenges of network science in counter-terrorism research under the big data times. The research focuses on some issues, such as data resource of counter-terrorism network, network evolution and dynamic behavior of terrorism organization network, network control and forecast of counter-terrorism information. These researches provide some directions in future counter-terrorism of network science, which make some progresses in counter-terrorism war.
Key wordscomplex network    counter-terrorism    challenges    facing problems
收稿日期: 2013-09-04      出版日期: 2026-06-22
基金资助:国家自然科学基金面上资助项目(61174151)
作者简介: 李本先(1977-),男,云南宣威人,博士,讲师,主要研究方向为社会网络、系统优化及综合集成。
引用本文:   
李本先, 江成俊, 方锦清. 网络科学在反恐研究中面临的挑战和机遇[J]. 复杂系统与复杂性科学, 2014, 11(1): 60-66.
LI Ben-xian, JIANG Cheng-jun, FANG Jin-qing. Network Science’s Challenges and Opportunities in Counter-Terrorism Research[J]. Complex Systems and Complexity Science, 2014, 11(1): 60-66.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2014.01.008      或      https://fzkx.qdu.edu.cn/CN/Y2014/V11/I1/60
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