Telegram Messenger Data Import Models

In this paper, an algorithm to import data from the messenger Telegram and build weighted graphs of interacting objects is described. To data, given Telegram-channels are taken as a basis. Then, channels which had any recorded three interactions with previous ones iteractively revealed: common external links, mentions each other, reposts. Further, focuses on configuration uses it calculate weights edges resulting graph. The takes into account type interaction other. authors introduce concept (U, M, R)-model information interaction. describe developed implemented software for constructing graphs. paper shows example graph that was built by described according R)-model.