Quantitative Research on Global Terrorist Attacks and Terrorist Attack Classification

Xueli Hu, Fujun Lai, Gufan Chen, Rongcheng Zou and Qingxiang Feng
Additional contact information
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

Sustainability, 2019, vol. 11, issue 5, 1-16

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.

Keywords: terrorist attacks; factor analysis; K -means clustering (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/5/1487/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/5/1487/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:5:p:1487-:d:212928

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().