Entropy and Network Centralities as Intelligent Tools for the Investigation of Terrorist Organizations
| Autor: | Ioannis Antoniou, Evangelos Ioannidis, Charalampos Bratsas, Georgios C. Makris, Alexandros Z. Spyropoulos, Vassilis Tsiantos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
weighted network
Science QC1-999 criminal investigations terrorist networks centralities measures General Physics and Astronomy Network theory Computer security computer.software_genre Astrophysics Criminal investigation Article network roles identification Betweenness centrality entropy in crime investigation police investigations Physics Law enforcement Sign (semiotics) QB460-466 Terrorism Weighted network Business Centrality computer |
| Zdroj: | Entropy Volume 23 Issue 10 Entropy, Vol 23, Iss 1334, p 1334 (2021) |
| ISSN: | 1099-4300 |
| DOI: | 10.3390/e23101334 |
| Popis: | In recent years, law enforcement authorities have increasingly used mathematical tools to support criminal investigations, such as those related to terrorism. In this work, two relevant questions are discussed: “How can the different roles of members of a terrorist organization be recognized?” and “are there early signs of impending terrorist acts?” These questions are addressed using the tools of entropy and network theory, more specifically centralities (degree, betweenness, clustering) and their entropies. These tools were applied to data (physical contacts) of four real terrorist networks from different countries. The different roles of the members are clearly recognized from the values of the selected centralities. An early sign of impending terrorist acts is the evolutionary pattern of the values of the entropies of the selected centralities. These results have been confirmed in all four terrorist networks. The conclusion is expected to be useful to law enforcement authorities to identify the roles of the members of terrorist organizations as the members with high centrality and to anticipate when a terrorist attack is imminent, by observing the evolution of the entropies of the centralities. |
| Databáze: | OpenAIRE |
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