Identity matching in social media platforms

Identity matching is crucial in many scenarios such as profile integration, identity resolution, data enrichment, forensic sciences and national security. In this paper we propose a novel solution for finding and matching profiles of a single person among Facebook, Linkedin and Twitter social platforms. In our proposed framework we look beyond the simple profile attributes such as name and location and consider users´ online shared material and social relationships. We utilize custom string matching algorithms, natural language processing and other web APIs to analyze and compare the profiles. Profiles with the similarity value above a threshold are considered matches.