Abstract
The article shows which segments constitute social and political activity in online social networks in the Karachay-Cherkessia Republic (KChR) and the width of their representation. The author’s technique allows to collect data on politically active groups of KChR. The segments of the social and political activity of the Republic on the social networks are shown. Eight main clusters of political activity in social networks of KChR were obtained by the author’s method of grain clustering. Each cluster was analyzed by social network analysis methods. The most influential persons and social movements are shown, and features of their network activity were investigated.
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The study has been funded by the Russian Academic Excellence Project “5-100”.
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Gradoselskaya, G., Karpov, I., Shcheglova, T. (2020). Mapping of Politically Active Groups on Social Networks of Russian Regions (On the Example of Karachay-Cherkessia Republic). In: Bychkov, I., Kalyagin, V., Pardalos, P., Prokopyev, O. (eds) Network Algorithms, Data Mining, and Applications. NET 2018. Springer Proceedings in Mathematics & Statistics, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-37157-9_13
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