Some Statistical Features of the Information Exchange in Social Networks

To create analytical models for disseminating information in social networks, a special technique has been implemented for selected statistics in the network VKontakte (VK). The statistical features of the change in the number of subscribers to social groups in terms of the pageviews are investigate...

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Published in2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) pp. 1 - 4
Main Authors Kuptsov, M. I., Minaev, V. A., Yablochnikov, S. L., Dzobelova, V. B., Sharopatova, A. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
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Abstract To create analytical models for disseminating information in social networks, a special technique has been implemented for selected statistics in the network VKontakte (VK). The statistical features of the change in the number of subscribers to social groups in terms of the pageviews are investigated. The classification of the groups of social network users is proposed; their differences and common patterns of mutual transitions are determined.
AbstractList To create analytical models for disseminating information in social networks, a special technique has been implemented for selected statistics in the network VKontakte (VK). The statistical features of the change in the number of subscribers to social groups in terms of the pageviews are investigated. The classification of the groups of social network users is proposed; their differences and common patterns of mutual transitions are determined.
Author Dzobelova, V. B.
Yablochnikov, S. L.
Sharopatova, A. V.
Kuptsov, M. I.
Minaev, V. A.
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  organization: Moscow Technical University of Communications and Informatics,Moscow,Russia
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  givenname: A. V.
  surname: Sharopatova
  fullname: Sharopatova, A. V.
  organization: FSBEI HE Krasnoyarsk State Agrarian University,Krasnoyarsk,Russia
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SubjectTerms Advertising
Aggregates
Analytical models
Blogs
Gaussian distribution
information dissemination
Information exchange
information influence
modeling
social network
Social network services
statistical regularity
Title Some Statistical Features of the Information Exchange in Social Networks
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