Anomaly Detection in Online Social Network: A Survey

Anomaly in Online Social Network can be referred as abnormal or unexpected behavior which deviates from majority of users. Due to popularity of social networking sites such as Facebook, Twitter etc., malicious activities have increased in recent past. Anomaly detection has become an important area for researchers to be looked upon. This survey gives an overview of existing techniques, which is further kept under two different types, structural based and behavioral based techniques for anomaly detection in social network. It also discusses major problem/s relating anomaly detection.