Similarity Analysis of Criminals on Social Networks: An Example on Twitter

摘要: Terrorist Networks (TNs) and Organized Crime (OC) are nowadays an increasing threat in the modern society. Due to strong adoption of IT technology, emergent phenomenon is represented by exploitation social media, such as Twitter, Facebook, YouTube disseminate promote illegal activities, recruit terrorists establish collaborations. The traditional approaches countermeasures against cyber-crimes result inadequate cyber-space. In this context, paper proposes engineering method, centered on three main phases, support analysis suspicious users media related OC TNs. It based extension network combined with well-known clustering techniques association rules. aims identify similarities well groups associated specific activities drugs, weapons human trafficking. Moreover, it supports identification process leaders mediators between them. A software, which enables automatic execution proposed developed experimented Twitter media. results show both TNs along their intra-group inter-group relationships through potential mediators.