Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya
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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2018, Volume 14, Issue 4, Pages 362–377
DOI: https://doi.org/10.21638/11701/spbu10.2018.409
(Mi vspui384)
 

This article is cited in 1 scientific paper (total in 1 paper)

Computer science

Methodology for disseminating information channels analysis in social networks

A. A. Pronozaa, L. A. Vitkovaa, A. A. Chechulina, I. V. Kotenkoa, D. V. Sakharovb

a St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14 Line V. O., Saint Petersburg, 199178, Russian Federation
b The Bonch-Bruevich St. Petersburg State University of Telecommunication, 22-1, Bolshevikov pr., Saint Petersburg, 193232, Russian Federation
Full-text PDF (465 kB) Citations (1)
References:
Abstract: The aim of the investigation was to develop a methodology for disseminating information channels analysis in social networks. The proposed methodology is based on the three steps. The first one is the formation of a knowledge base with information about the relationships between users and groups. The second one is the interactive mapping of information dissemination paths, and the third one is related to the visual analysis of the results obtained in previous steps. The interconnections of users and groups in the social network allow one to form the connectivity graphs, and the facts of information transfer through these channels make it possible to identify the ways of content distribution. The results of experiments that confirm the applicability of the proposed methodology are also presented in the paper.
Keywords: social network, visualization, protection against information, inappropriate information, connection graph, visual analytics.
Funding agency Grant number
Russian Science Foundation 18-71-10094
Received: June 26, 2018
Accepted: September 25, 2018
Bibliographic databases:
Document Type: Article
UDC: 004.921
MSC: 76M27
Language: Russian
Citation: A. A. Pronoza, L. A. Vitkova, A. A. Chechulin, I. V. Kotenko, D. V. Sakharov, “Methodology for disseminating information channels analysis in social networks”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 14:4 (2018), 362–377
Citation in format AMSBIB
\Bibitem{ProVitChe18}
\by A.~A.~Pronoza, L.~A.~Vitkova, A.~A.~Chechulin, I.~V.~Kotenko, D.~V.~Sakharov
\paper Methodology for disseminating information channels analysis in social networks
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2018
\vol 14
\issue 4
\pages 362--377
\mathnet{http://mi.mathnet.ru/vspui384}
\crossref{https://doi.org/10.21638/11701/spbu10.2018.409}
\elib{https://elibrary.ru/item.asp?id=36687364}
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  • https://www.mathnet.ru/eng/vspui/v14/i4/p362
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления
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    Abstract page:141
    Full-text PDF :33
    References:15
    First page:7
     
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