There are many areas in which the task of analyzing social networks arises. These include, for example,
information security, targeted advertising, bank scoring, etc. According to statistics on a set of data from the accounts of 276,000
VKontakte profiles, only 60.5% provide their date of birth; nevertheless, this information is of interest in the context of many
tasks and can be recovered by various methods. The main goal of this study is to propose an approach to restoring the age of a
user by analyzing his subscriptions to various communities and publics. The paper provides an overview of existing solutions,
formulates various approaches to age restoration through the analysis of communities. The results obtained will help increase
the potential for automated analysis of user profiles on social networks. And they can be applied in various fields: analysis of
the security of users of information systems during multistep social engineering attacks, targeted advertising, bank scoring, etc.