Proposed User Identification Algorithm Across Social Network Using Hybrid Techniques

Abstract

Social networking sites such as Facebook, Twitter, Instagram, and Chat are stronger communication tools. Users use multiple social network applications for different purposes such as business or communications and multiple accounts in different social network applications for each user. In order to identify the same user in an accurate method is important in many services. In this paper, we proposed an algorithm to identify users based on check-in and profile matching using fuzzy matching method in profile and Bayesian algorithm in check-in. This method called “Profile Matching and Check-in” PMC. The proposed method simulated using Python programming language version (2.7) for the Gowalla dataset, the accuracy of the proposed method is 84%. This method achieves high security and privacy to the system.