Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links
Law enforcement authorities deal with terrorism in two ways: prevention and legal procedures to establish the offence of forming a terrorist organization. Setting up the offence of a terrorist organization requires proof that the members of the organization acquire distinct roles in the organization...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/7/1092 |
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| author | Alexandros Z. Spyropoulos Charalampos Bratsas Georgios C. Makris Evangelos Ioannidis Vassilis Tsiantos Ioannis Antoniou |
| author_facet | Alexandros Z. Spyropoulos Charalampos Bratsas Georgios C. Makris Evangelos Ioannidis Vassilis Tsiantos Ioannis Antoniou |
| author_sort | Alexandros Z. Spyropoulos |
| collection | DOAJ |
| description | Law enforcement authorities deal with terrorism in two ways: prevention and legal procedures to establish the offence of forming a terrorist organization. Setting up the offence of a terrorist organization requires proof that the members of the organization acquire distinct roles in the organization. Until today, this procedure has been based on unreliable, biased or subjective witness statements, resulting in questionable criminal court proceedings. A quantitative, unbiased methodology based on Network Theory is proposed in order to address three research questions: “How can the presence of distinct roles among the members of a terrorist organization be revealed?”, “Is the presence of distinct roles related to terrorist activity?”and “Are there early signs of imminent terrorist activity?”. These questions are addressed using selected global indices from network theory: density, small worldness, centralization, average centrality and standard deviation of centrality. These indices are computed for four real networks of terrorist organizations from four different countries. |
| first_indexed | 2024-03-09T11:39:27Z |
| format | Article |
| id | doaj.art-a244d54abb5f45b8926937f403c0ae1c |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:39:27Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-a244d54abb5f45b8926937f403c0ae1c2023-11-30T23:37:03ZengMDPI AGMathematics2227-73902022-03-01107109210.3390/math10071092Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted LinksAlexandros Z. Spyropoulos0Charalampos Bratsas1Georgios C. Makris2Evangelos Ioannidis3Vassilis Tsiantos4Ioannis Antoniou5Department of Physics, School of Science, Kavala’s Campus, International Hellenic University (IHU), 57001 Thessaloniki, GreeceDepartment of Mathematics, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, GreeceDepartment of Mathematics, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, GreeceDepartment of Mathematics, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, GreeceDepartment of Physics, School of Science, Kavala’s Campus, International Hellenic University (IHU), 57001 Thessaloniki, GreeceDepartment of Mathematics, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, GreeceLaw enforcement authorities deal with terrorism in two ways: prevention and legal procedures to establish the offence of forming a terrorist organization. Setting up the offence of a terrorist organization requires proof that the members of the organization acquire distinct roles in the organization. Until today, this procedure has been based on unreliable, biased or subjective witness statements, resulting in questionable criminal court proceedings. A quantitative, unbiased methodology based on Network Theory is proposed in order to address three research questions: “How can the presence of distinct roles among the members of a terrorist organization be revealed?”, “Is the presence of distinct roles related to terrorist activity?”and “Are there early signs of imminent terrorist activity?”. These questions are addressed using selected global indices from network theory: density, small worldness, centralization, average centrality and standard deviation of centrality. These indices are computed for four real networks of terrorist organizations from four different countries.https://www.mdpi.com/2227-7390/10/7/1092terrorist networkspolice investigationscriminal investigationscentralizations measuresentropy in crime investigationweighted network |
| spellingShingle | Alexandros Z. Spyropoulos Charalampos Bratsas Georgios C. Makris Evangelos Ioannidis Vassilis Tsiantos Ioannis Antoniou Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links Mathematics terrorist networks police investigations criminal investigations centralizations measures entropy in crime investigation weighted network |
| title | Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links |
| title_full | Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links |
| title_fullStr | Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links |
| title_full_unstemmed | Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links |
| title_short | Investigation of Terrorist Organizations Using Intelligent Tools: A Dynamic Network Analysis with Weighted Links |
| title_sort | investigation of terrorist organizations using intelligent tools a dynamic network analysis with weighted links |
| topic | terrorist networks police investigations criminal investigations centralizations measures entropy in crime investigation weighted network |
| url | https://www.mdpi.com/2227-7390/10/7/1092 |
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