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The research is devoted to the analysis of hierarchies in inter-personal and intergroup network communication an example of a strategy of the election campaign in the Moscow City Duma in 2019. The study involved a cross-disciplinary approach using neural network technologies, complex networks analysis. For the correct interpretation of the content, content analysis, semantic analysis and analysis of word association were performed. The dataset included social networks, microblogs, forums, blogs, videos, reviews. The expansion and enrichment of the users’ world view in the network environment in the analyzed communicative situation occurs through spreading of a more developed and well-founded model of the world, the carrier of which is a social media influencer with the necessary set of knowledge, techniques, a high level of some assets, who is able to communicate current requirements. Also the study made it possible to identify a level of social stress.