Matching User Profiles Across Social Networks

摘要: Social Networking Sites, such as Facebook and Linkedin, are clear examples of the impact that Web 2.0 has on people around world, because they target an aspect life is extremely important to anyone: social relationships. The key building a network ability finding we know in real life, which, turn, requires those make publicly available some personal information, their names, family locations birth dates, just name few. However, it not uncommon individuals create multiple profiles several networks, each containing partially overlapping sets information. Matching different allows global profile gives holistic view information individual. In this paper, present algorithm uses topology iteratively match across n based who disclose links profiles. evaluation results, obtained dataset composed 2 million profiles, show our achieves high accuracy.