Detection of User Cluster with Suspicious Activity in Online Social Networking Sites

Abstract

Online social networking sites such as Facebook and Google+ among others are the great way to be in touch with our near and dear ones. Nonetheless, the power of social networking sites can be exploited for the purpose of illegal activities such as planning terrorism related activities or spreading some sorts of hate message in the society. So if there is systems which can identify such activities and the persons involved, then that system will prove to be a boon for the law enforcement people. This paper proposes a system for detection of the sentiments in online messages and comments exchanged over social networking and blogging sites, which monitors communication between users and identify the messages of individuals who exhibits anomalies behavior over time. The proposed system is also able to identify group of people who are discussing about same topics which may be about a suspicious activity.