2017 28th International Workshop on Database and Expert Systems Applications (DEXA) (2017)
Aug. 28, 2017 to Aug. 31, 2017
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2017.18
Social networks (SNs) have become essential communication tools in recent years, generating a large amount of information about its users that can be analysed with data processing algorithms. Recently, a new type of SN user has emerged: jihadists that use SNs as a tool to recruit new militants and share their propaganda. In this paper, we study a set of indicators to assess the risk of radicalisation of a social network user. These radicalisation indicators help law-enforcement agencies, prosecutors and organizations devoted to fight terrorism to detect vulnerable targets even before the radicalisation process is completed. Moreover, these indicators are the first steps towards a software tool to gather, represent, pre-process and analyse behavioural indicators of radicalisation in terrorism.
Twitter, Terrorism, Tools, Data mining, Complex networks, Electronic mail
R. Lara-Cabrera, A. Gonzalez-Pardo, M. Barhamgi and D. Camacho, "Extracting Radicalisation Behavioural Patterns from Social Network Data," 2017 28th International Workshop on Database and Expert Systems Applications (DEXA), Lyon, France, 2017, pp. 6-10.