Detecting abnormal attention in online social networks from local views

摘要

With the development of the Internet, more and more people actively interact with others via online social networks. Potentially, people can hide themselves in the dark and continually gather information from other users from the Internet. To assist individual users to protect their privacy and security, in this paper a computational approach for abnormal attention detection is presented. The proposed approach can detect abnormal attention from the local view of a user, without invading other people's privacy.