An community detection algorithm based on the multi-attribute similarity

To investigate the potential property contained in the user profile, providing an ideal platform for information exchange and sharing within social network users, and to propose a client-targeted community detection algorithm based on analysis of user profile. Community detection is finally accomplished by combining users who are of similar interest, study purpose and behavior in consideration of the similarity of users´ multiple properties. A classic test concerning social network data partition suggests that this algorithm is feasible and effective.