Applicability of Similarity Coefficients in Social Circle Matching

This study focuses on the comparison and selection of the similarity coefficient for comparing social circles of users. Comparison of the social environment is used in comparing profiles in various social networking cites and identifying those that belong to one user. Six similarity coefficients are...

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Bibliographic Details
Published in2020 XXIII International Conference on Soft Computing and Measurements (SCM) pp. 41 - 43
Main Authors Korepanova, Anastasia A., Oliseenko, Valerii D., Abramov, Maxim V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2020
Subjects
Correlation
Information Security
Logistics
Machine learning
similarity coefficients
social engineering attacks
Social network services
social networking cites
Task analysis
user identification
user protection
user vulnerability profile
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Summary:This study focuses on the comparison and selection of the similarity coefficient for comparing social circles of users. Comparison of the social environment is used in comparing profiles in various social networking cites and identifying those that belong to one user. Six similarity coefficients are compared using machine learning methods and mathematical statistics. The selected coefficient will allow us to more accurately compare social circles of users and increase efficiency of the binary classifier (logistic regression) determining pair of profiles in various social networking cite belonging to one user. In addition, results of this study can be used in the analysis of social networking cites, for example, in the tasks of social computing.
DOI:10.1109/SCM50615.2020.9198782