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Source: Online social networks and media. 2023. Vol. 34/35. P. 100248 (1-25)
Type: статьи в журналах
Date: 2023
Description:
This paper presents an analysis of a temporal network that describes the social connections of a large-scale (∼30,000) sample of online social network users, inhabitants of a fixed city. We tested how
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Source: Administratie și management public. 2021. № 36. P. 25-48
Type: статьи в журналах
Date: 2021
Description:
Abstract: The paper presents a method for measuring subjective quality of life in the regions of the Russian Federation on the basis of digital data. Information about online activity of users in the
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Source: E3S Web of Conferences. 2021. Vol. 258 : Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021) Chelyabinsk, Russia, February 17-19, 2021. P. 07012 (1-6)
Type: статьи в журналах
Date: 2021
Description:
Explores the potential of a dynamic data analysis approach to study user behavior in social networks. Currently, information appears on social networks that allows differentiating user groups by their
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Source: Media, war & conflict. 2020. Vol. 13, № 4. P. 425-447
Type: статьи в журналах
Date: 2020
Description:
This article presents a comparative analysis of online communities of right-wing radicals and Islamists, who are considered to be numerous and dangerous extremist groups in Russian society. The online
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Source: Studies of transition states and societies. 2019. Vol. 11, № 1. P. 19-38
Type: статьи в журналах
Date: 2019
Description:
This paper presents the results of a study on socio-economic and demographic factors thataffect the intensity of right-wing radicals’ activity in the framework of the Russian-basedsocial network VKont
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