Extracting Radicalisation Behavioural Patterns from Social Network Data

摘要: 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, new type SN user has emerged: jihadists use SNs as tool to recruit militants and share their propaganda. In this paper, we study set indicators assess the risk radicalisation social network user. These help law-enforcement agencies, prosecutors organizations devoted fight terrorism detect vulnerable targets even before process is completed. Moreover, these are first steps towards software gather, represent, pre-process analyse behavioural terrorism.