Russian Federation
Russian Federation
The article analyzes a pool of educational channels on the Telegram platform in order to visualize the structure of network interaction and identify the features of their intranet communication. To conduct the study, qualitative methods of analysis were used, which allowed us to look at educational projects from different angles, as well as the case study method. The empirical basis of the study was 50 channels of the Telegram messenger, the analysis of which was based on mutual citation, which revealed communities reflecting the most successfully promoted channels. The practical significance of the research lies in the author's recommendations to news, popular science and entertainment socio-political and other telegram channels aimed at expanding their audience. As conclusions, the authors note that, based on citing each other, the channels in question form communities that are formed in accordance with thematic content: general education, political science, educational, historical, international, humanitarian, literary, communities aimed at professional growth, as well as announcing events and grants. Analyzing large network nodes, the authors note that most channels are created to promote one main project. Community networks often have a decentralized structure, which indicates a low level of interaction with other projects, but there are some projects that cooperate with each other, thereby occupying central positions in the network (RSMD, PostNauka).
network approach, political science Telegram communities, social networks, socio-political Telegram channels, Telegram channels, nodes
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