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Proceedings of the Institute for System Programming of the RAS, 2018, Volume 30, Issue 6, Pages 199–220
DOI: https://doi.org/10.15514/ISPRAS-2018-30(6)-11
(Mi tisp384)
 

This article is cited in 4 scientific papers (total in 4 papers)

Methods for information spread analysis

A. A. Avetisyanab, M. D. Drobyshevskiyca, D. Yu. Turdakovadb

a Ivannikov Institute for System Programming of the RAS
b Lomonosov Moscow State University
c Moscow Institute of Physics and Technology
d National Research University Higher School of Economics (HSE)
Full-text PDF (645 kB) Citations (4)
References:
Abstract: Spread of information is a fundamental process taking place on the Internet. Every day we can observe the publication of various information and its further dissemination through news articles and messages from ordinary users. Although the process itself can be observed explicitly, it is difficult to determine individual propagation paths. The increase of global information in all spheres of human life radically changes the speed and ways of disseminating information. In this review, we study models of information flows on the Internet and divide them into two groups: explanatory models, which suggest the existence of the underlying network over which information propagates, and predictive models, studying spread of individual information flows. Despite all the complexity, the study of the important properties of information spread is necessary for understanding the general processes occurring in the modern information society.
Keywords: information diffusion, information cascades, networks of diffusion.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-01059
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Avetisyan, M. D. Drobyshevskiy, D. Yu. Turdakov, “Methods for information spread analysis”, Proceedings of ISP RAS, 30:6 (2018), 199–220
Citation in format AMSBIB
\Bibitem{AveDroTur18}
\by A.~A.~Avetisyan, M.~D.~Drobyshevskiy, D.~Yu.~Turdakov
\paper Methods for information spread analysis
\jour Proceedings of ISP RAS
\yr 2018
\vol 30
\issue 6
\pages 199--220
\mathnet{http://mi.mathnet.ru/tisp384}
\crossref{https://doi.org/10.15514/ISPRAS-2018-30(6)-11}
\elib{https://elibrary.ru/item.asp?id=36825272}
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  • https://www.mathnet.ru/eng/tisp/v30/i6/p199
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Proceedings of the Institute for System Programming of the RAS
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