An Approach for Dynamic Identification of Online Radicalization in Social Networks

被引:5
|
作者
Wadhwa, Pooja [1 ]
Bhatia, M. P. S. [1 ]
机构
[1] Netaji Subhas Inst Technol, Dept Comp Engn, New Delhi, India
关键词
dynamic social network analysis; interaction graphs; message classification; online radicalization;
D O I
10.1080/01969722.2015.1058665
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Online Social Network (OSN) has evolved as a popular platform enabling rich topic-centric interactions and serving as a medium to facilitate online radicalization (Behr et al. 2013). Keeping in view the growing need of uncovering online radicalization, we focus on the information network of Twitter and present an approach for identifying dynamic communities, which arise due to radical topic-centric user interactions. The approach at successive timestamps deploys evolving topic-entity maps along with evolving interaction graphs. We propose Rate of Overlap (ROA(ct)) to determine the similarity among successive community timestamps. We further validate our approach using an open dataset of criminal offences in the city of Denver, Colorado. The approach presented is simple, fast, and effective for dynamic identification of topic-centric communities and, thus, will enable law enforcement agencies to identify hidden radicalization.
引用
收藏
页码:641 / 665
页数:25
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