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Quantitative Research on Global Terrorist Attacks and Terrorist Attack Classification

Author

Listed:
  • Xueli Hu

    (State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 45000, China)

  • Fujun Lai

    (Chinese Academy of Finance and Development, Central University of Finance and Economics, Beijing 100081, China)

  • Gufan Chen

    (Faculty of Applied Science, University of Regina, Regina, SK S4S0A2, Canada)

  • Rongcheng Zou

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

  • Qingxiang Feng

    (Institute of Guangdong Hong Kong and Macao Development Studies, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

Terrorist attacks are events which hinder the development of a region. Before the terrorist attacks, we need to conduct a graded evaluation of the terrorist attacks. After getting the level of terrorist attacks, we can fight terrorist organizations more effectively. This paper builds rating models for terrorist attacks, hidden or emerging terrorist organization classification discovery models, terrorist organization alliance network models and more, through quantitative research of the Global Terrorism Database, which solved the event classification. Through studying relevant literature and the variables of the Global Terrorism Database, this paper sorted out 25 observation variables related to the impact level (level of harm) of terrorist attacks. By establishing a mathematical model of factor analysis, 11 factors related to the impact level (level of harm) of terrorist attacks were constructed, and the variance of the contribution of each factor was used as the weight to calculate the comprehensive rate of the impact level of each terrorist attack. Finally, K -means clustering method is used to cluster and analyze the comprehensive rate of impact level, and the top 10 terrorist attacks with the highest impact level in the past two decades were obtained.

Suggested Citation

  • Xueli Hu & Fujun Lai & Gufan Chen & Rongcheng Zou & Qingxiang Feng, 2019. "Quantitative Research on Global Terrorist Attacks and Terrorist Attack Classification," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1487-:d:212928
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    References listed on IDEAS

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    1. Keohane, Nathaniel O & Zeckhauser, Richard J, 2003. "The Ecology of Terror Defense," Journal of Risk and Uncertainty, Springer, vol. 26(2-3), pages 201-229, March-May.
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    Cited by:

    1. Zhongbei Li & Xiangchun Li & Chen Dong & Fanfan Guo & Fan Zhang & Qi Zhang, 2021. "Quantitative Analysis of Global Terrorist Attacks Based on the Global Terrorism Database," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    2. Radomír Scurek, 2021. "Management and Data Processing of Quantitative Terrorism Research in the European Union and the Czech Republic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 18-39.
    3. Muhammad Athar Nadeem & Zhiying Liu & Haji Suleman Ali & Amna Younis & Muhammad Bilal & Yi Xu, 2020. "Innovation and Sustainable Development: Does Aid and Political Instability Impede Innovation?," SAGE Open, , vol. 10(4), pages 21582440209, November.

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