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CRIMINOLOGY

Profiling terrorist organizations capable of high impact attacks

ORCID Icon, ORCID Icon, ORCID Icon &
Article: 2270642 | Received 28 Jul 2023, Accepted 10 Oct 2023, Published online: 26 Oct 2023

Figures & data

Figure 1. Various data sources of Global Terrorism Database (GTD)(Singh & Philip, Citation2021).

Figure 1. Various data sources of Global Terrorism Database (GTD)(Singh & Philip, Citation2021).

Figure 2. Iterative outlier analysis heuristic for extractions of high impact attacks (Singh & Philip, Citation2021).

Figure 2. Iterative outlier analysis heuristic for extractions of high impact attacks (Singh & Philip, Citation2021).

Figure 3. Flowchart of the extraction and classification of terror organizations capable of High Impact Attacks.

Figure 3. Flowchart of the extraction and classification of terror organizations capable of High Impact Attacks.

Table 1. Consistency-Intensity Code (CIC) for each organization

Table 2. Region-wise incident counts in GTD part IV

Table 3. HIAs extracted using Iterative Outlier Analysis (IOA)

Table 4. Number of Most Active Organizations (MAOs) in each region

Table 5. Global Most Active Organizations (MAOs) dataset

Table 6. Region-wise median values using nkill

Table 7. Region-wise median values using GTI-IS

Figure 4. Distribution of Consistency-Intensity Code (CIC) using nkill and GTI-IS.

Figure 4. Distribution of Consistency-Intensity Code (CIC) using nkill and GTI-IS.

Figure 5. Identification of optimal categories using K-Means clustering algorithm.

Figure 5. Identification of optimal categories using K-Means clustering algorithm.

Figure 6. Distribution of the organization’s rank against Consistency-Intensity Codes (CIC).

Figure 6. Distribution of the organization’s rank against Consistency-Intensity Codes (CIC).

Figure 7. Frequency of organization’s rank in Consistency-Intensity Code (CIC) using nkill.

Figure 7. Frequency of organization’s rank in Consistency-Intensity Code (CIC) using nkill.

Figure 8. Best distribution fit for each category in consistency-intensity code using nkill.

Figure 8. Best distribution fit for each category in consistency-intensity code using nkill.

Table 8. Parameter details for the best fit distribution of organization’s rank data

Table 9. Virulent Consistent and Intense Organizations (CITOs) reporting events in multiple regions

Figure 9. Classification of virulent CITO based on Consistency-Intensity Code (CIC).

Figure 9. Classification of virulent CITO based on Consistency-Intensity Code (CIC).

Figure 10. Presence of terrorism ideology in a region.

Figure 10. Presence of terrorism ideology in a region.

Table 10. GTI-IS contribution by ideologies in each region

Supplemental material

Supplemental Material

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