A New Terrorism Categorization Based on Casualties and Consequences Using Hierarchical Clustering

被引:9
|
作者
Atsa'am, Donald Douglas [1 ,2 ]
Wario, Ruth [1 ]
Okpo, Fiona Emokpaire [2 ]
机构
[1] Univ Free State, Fac Nat & Agr Sci, Dept Comp Sci & Informat, Qwaqwa, South Africa
[2] Univ Agr, Dept Math Stat & Comp Sci, PMB 2373, Makurdi 970001, Benue State, Nigeria
关键词
Global Terrorism Database; terrorism categorization; casualties and consequences; data mining; hierarchical clustering; SELECTION;
D O I
10.1080/19361610.2020.1769461
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
This study deployed the agglomerative hierarchical clustering technique on the Global Terrorism Database to develop a new way of categorizing terrorism. Four clusters were extracted, resulting in a new categorization of terrorism based on casualties and consequences. The subcategories include low-casualty, medium-consequence terror groups; medium-casualty, high-consequence terror groups; high-casualty, low-consequence terror groups; and higher-casualty, low-consequence terror groups. The connectedness, separation, and compactness of the four clusters were evaluated and the results were reasonably accurate. This new categorization has useful application in counterterrorism regarding proportionate budgeting of weaponry and other resources.
引用
收藏
页码:369 / 384
页数:16
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