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Anna Uglova,Boris Nizomutdinov
Pág. 81 - 86
The information space provides a large amount of destructive, stressful information, and restricts self-destructive behavior. The article considers the possibility of using automated analysis of destructive content of telegram channels to predict the ris...
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Andrei Chugunov,Boris Nizomutdinov,Aleksandr Budiak
Pág. 141 - 146
The paper analyzes the channels of the heads of regions of the Russian Federation. The research of channels was divided into 4 stages: selection of channels, collection of statistical information, unloading of messages and processing of text information....
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B. A. Nizomutdinov,L. A. Vidiasova
Pág. 15 - 20
The article presents a method developed by the authors to determine the most active subscribers of communities in social networks. The object of study was 18 official groups of district administrations of St. Petersburg VKontakte. The paper describes the...
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B. A. Nizomutdinov,A. S. Tropnikov,A. B. Uglova
Pág. 64 - 71
On the basis of the conducted empirical research of information images of users, the leading components of network self-presentation were revealed: statistical, socio-demographic component, visual component and value-semantic component. The authors analy...
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