The paper presents a comparative study of different methods that
help to detect hidden communities within social networks. The tested approaches were divided into three main groups: a graph-based method, a clustering method, and a hybrid method. The experiments were conducted on the Russian corpus of posts from VKontakte social network. We discuss advantages and
disadvantages of all the methods, and predict the ways of their improving.