ИСТИНА

“VKontakte” open data was used in this study. The information about users was collected via “VKontakte” API. Users, whose age is between 15 and 70 years old and who live in the cities of Central-Chernozem economic region of Russia were included in the sample. Three filters were used to omit fake users. Filter of 2 weeks exclude inactive users by the time of the last visit. Usually fakes are created for each project and they «fall asleep» at the end. Filter by the amount of subscribers is rather useful, because fakes often have huge number of subscribers. Filter by the context of status helps to exclude users with advertising in it. Then all subscriptions of non-fake users with open pages were collected. The key issue of the study was to create complex users’ characteristics, which can show its tastes and interests according to his or her subscribes for social network communities (publics). A group of users, which tends to subscribe to a certain set of communities is called a pattern of social network behavior. They were defined using developed method of graph clustering, based on the OpenOrd layout algorithm. Eleven patterns of social network behavior were obtained. They can be divided in 2 groups. Publics of age-sex patterns have no common subject, they have large number of users. Humor is the most popular topic of publics in such patterns. Publics of thematic patterns certainly have one or two common subjects. These patterns have little number of humorous publics. The population of thematic patterns is much less, than population of age-sex patterns. To a first approximation, these 2 groups of social network behavior patterns can be described in terms of mass and elite. Group of age-sex patterns is mass because its users are usually interested in popular culture. Thematic patterns sometimes look like little groups of professionals or subcultures.