Key Technology Research on User Identity Resolution across Multi-social Media

People usually use various social media for different purposes. Personal information are not distributed in the Internet randomly, but archived in several social media under a certain rule, which is called the different characters of social media. When sources of complementary information are integrated, the fused social data of people will have broad prospect in the area of recommendation system and security. A key problem for social data fusion is to discover multiple accounts of a single person across different social media. In this paper, we propose a methodology for user identity resolution based on user´s basic information and social network. The approach accomplishes this task by measuring the similarity of vertices. Finally, we use calculation results to evaluate these methods´ accuracy rate.