Proposed User Identification Algorithm Across Social Network Using Hybrid Techniques

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...

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Bibliographic Details
Published in2019 2nd Scientific Conference of Computer Sciences (SCCS) pp. 158 - 161
Main Authors Humadde, Hadeel S., Abdul-Hassan, Alia K., Mahdi, Bashar S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Bayesian algorithm
check-in
Facebook
fuzzy logic
profile matching
Social Networks
Twitter
User identification
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Summary: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.
DOI:10.1109/SCCS.2019.8852606