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基于MLE的恐怖组织袭击行为模式实证研究

  • 赵法栋 ,
  • 庄弘炜 ,
  • 金振兴
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  • 武警工程大学 a.装备工程学院,b.理学院,西安 710086
赵法栋(1986-),男,山东肥城人,硕士,助教,主要研究方向为复杂网络与人类行为动力学。

收稿日期: 2013-09-08

  网络出版日期: 2026-06-22

基金资助

国家社会科学基金(11BZX016)

Empirical Studies on Attack Patterns of Terrorism Groups Based on MLE

  • ZHAO Fadong ,
  • ZHUANG Hongwei ,
  • JIN Zhenxing
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  • a. School of Equipment Engineering, b. School of Science, Engineering University of Armed Police Force, Xi’an 710086, China

Received date: 2013-09-08

  Online published: 2026-06-22

摘要

为揭示恐怖组织的袭击行为模式,对袭击数量超过500件的恐怖组织袭击行为进行了统计实证。在袭击时间间隔服从幂律分布的假设下,采用最大似然估计法对其幂律指数进行估计,并采用Kolmogorov-Smirnov检验法进行真伪性检验。结果表明:各组织发动袭击的时间间隔均服从幂指数为1.8~3.1的幂律分布;恐怖袭击的阵发性与恐怖组织创立的早晚、生命周期的长短无关;组织平均活跃性与幂律指数并不具有正相关关系,组织规模的大小是影响其幂律指数的重要因素。

本文引用格式

赵法栋 , 庄弘炜 , 金振兴 . 基于MLE的恐怖组织袭击行为模式实证研究[J]. 复杂系统与复杂性科学, 2014 , 11(4) : 19 -22 . DOI: 10.13306/j.1672-3813.2014.04.004

Abstract

To reveal the attack pattern, terrorism groups which attacked more than 500 events were empirically studied. Under the hypothesis that their interevent time follow power-law distribution, the maximum-likelihood estimation was applied to estimate the power-law exponent, and then the Kolmogorov-Smirnov(KS) statistic was used to test the hypothesis. The results show that the interevent time distributions of all the groups are power-law; The burst of terrorism attacks has no relationship with the foundation time and the lifetime; There is no positive correlation between average activity and power-law exponent and the group size is the main factor to affect it.

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