Qureshi, Pir Abdul Rasool3; Memon, Nasrullah3; Wiil, Uffe Kock3; Karampelas, Panagiotis2
1 The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, SDU2 Hellenic American University3 The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, SDU
This paper proposes a novel system to detect social polarization and to estimate the chances of violent radicalization associated with it. The required processes for such a system are indicated; it is also analyzed how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design to enable integration and extension of future state of the art technologies into the system.
International Journal of Machine Learning and Computing, 2011, Vol 1, Issue 1, p. 49-57