Analysing terrorist networks – An entropy‐driven method. Issue 10 (25th May 2021)

• Record Type: Journal Article
• Authors: Rödder, Wilhelm; Dellnitz, Andreas; Litzinger, Sebastian
• Other Names: Dhiman Gaurav guestEditor.; Nagar Atulya K. guestEditor.; Gupta Deepak guestEditor.
• Is Part Of: Expert systems. Volume 39:Issue 10(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-05-25
• Subjects: 9/11 attack -- Bali attack -- entropy -- knowledge processing -- network analysis -- terrorism; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12720
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Terrorism is a scourge of humanity. Thousands of people were killed by terrorists in the last years. To understand the structure, information flow and leadership in terrorist cells is a must for all societies to prevent future attacks. Network theory can help to model such cells and to identify leading members therein. This contribution uses the graph theoretical approach as a basis and enriches it by an entropy‐driven knowledge processing. After presenting the theoretical concept two terrorist cells, the one of the Bali attack and the one of the 9/11 attack, are analysed. The results are compared to those of other methods. A preview on the application of weighted networks and multi‐nets complements the new findings.