In this paper, the features of the popular messenger Telegram are described. After that, a model to construct a graph of interacting objects is considered, where the vertices are Telegram channels, and the edges are the interactions between them. The weight of the graph edges depends on the presence of reposts, mentions and common sources of information between pairs of vertices. Further, taking into account the features of the Telegram messenger and the capabilities of its API, the concept of a digital channel profile is introduced in the form of a normalized vector. Each vector coordinate is responsible for a separate characteristic of the channel in the network. Then, examples of constructing these digital profiles for channels and their further use are given. A cluster analysis of the digital profiles for 4 Telegram channel networks is carried out. After that, the characteristics of each for the resulting clusters were described. Thus, the authors presented a method for constructing Telegram channels digital profiles, which, together with the analysis of the network topology of channels, provides a broader toolkit for analyzing Telegram channels.