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Analysis on communities profiles in social networks

DOI 10.18127/j20729472-201803-14


T.V. Sokolova – Post-graduate Student, RTU MIREA (Moscow)
A.A. Chepovskiy – Ph.D.(Phys.-Math.), Associate Professor, HSE (Moscow)

This paper presents the problem of forming user profiles based on data from social networks. For user profiling both the user and his friends data are used. Community allocation algorithms in social graphs are used to detect groups of communication. Each community has its own profile, which includes the characteristics of the users that belong to it and the groups that these users belong to. Profiles formed in this way can be used in tasks in which manual processing of profiles (security, banking, personnel services, etc.) is carried out, and the components of such a profile can act as factors for models in the automatic processing of profiles.

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