This paper presents a theoretical computerized system to detect social polarization and to estimate the related chances of violent radicalization. Existing technologies are analyzed to determine how they can be integrated into the proposed system to fulfil the authors’ objectives.
This survey reviews the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The article is divided into two principal parts:
This 2012 article focuses on the detection of hidden relationship structures in online social networks including the characteristics of relationship structures on Facebook. The authors argue that graphs fail to capture the finer qualities of online social network relationships.
This portal gathers an annotated collection of recent research on the ways in which social media and new technologies may be leveraged in the fight against violent extremism