Detecting deviators from the norm in social networks

Research in the International Journal of Web Based Communities introduces a new and accurate approach to identifying abnormal users in social networks by examining several characteristics of user behavior at once. By tapping into the APIs (Advanced Programming Interfaces) of various social networks, Jian Xie of the College of Education at Fuyang Normal University in Fuyang, China, was able to gather comprehensive data about users, including details about their accounts, the content they post, and the specific ways they behave.

advanced apis college communities education international journal networks programming research security social social networks user behavior web