1 Цитирования (Scopus)


The presented work is devoted to the development of an approach to the age inference for users on the online social network VK.com. This approach is based on an analysis of the communities that the user is a member of. The proposed method is based on the hypothesis that users join some of those communities that contain data about class, graduation from school, data about the group at the university, etc. and those that have users’ peers as members. The proposed approach allows for the age inference. The obtained results can benefit research on online social networks, as well as the task of discovering a user vulnerability through social networks.

Язык оригиналаанглийский
Страницы (с-по)246-251
Число страниц6
ЖурналCEUR Workshop Proceedings
СостояниеОпубликовано - 2020
СобытиеRussian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 8th International Conference on "Fuzzy Systems, Soft Soft Computing and Intelligent Technologies",FSSCIT 2020 - Smolensk, Российская Федерация
Продолжительность: 29 июн 20201 июл 2020

Предметные области Scopus

  • Компьютерные науки (все)