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Avtomatika i Telemekhanika, 2022, Issue 5, Pages 87–101
DOI: https://doi.org/10.31857/S0005231022050075 (Mi at15957) 		 
This article is cited in 5 scientific papers (total in 5 papers)

Methods for analysis of information influence in active network structures

D. A. Gubanov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia
Full-text PDF (934 kB) First page Citations (5)
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DOI: https://doi.org/10.31857/S0005231022050075
Abstract: A number of methods and examples are considered that substantiate the possibility and expediency of using the actional approach to solving applied problems of analyzing information processes in active network structures.
Keywords: active network structure, information influence, actional model, methods of analysis of active network structures.
Funding agency Grant number
Russian Science Foundation 20-11-20059
The work was supported by the Russian Science Foundation, project no. 20-11-20059.

Received: 12.07.2021
Revised: 25.08.2021
Accepted: 26.01.2022
English version:
Automation and Remote Control, 2022, Volume 83, Issue 5, Pages 743–754
DOI: https://doi.org/10.1134/S0005117922050071
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. A. Gubanov, “Methods for analysis of information influence in active network structures”, Avtomat. i Telemekh., 2022, no. 5, 87–101; Autom. Remote Control, 83:5 (2022), 743–754
Citation in format AMSBIB
\Bibitem{Gub22}
\by D.~A.~Gubanov
\paper Methods for analysis of information influence in active network structures
\jour Avtomat. i Telemekh.
\yr 2022
\issue 5
\pages 87--101
\mathnet{http://mi.mathnet.ru/at15957}
\crossref{https://doi.org/10.31857/S0005231022050075}
\edn{https://elibrary.ru/ABSYZX}
\transl
\jour Autom. Remote Control
\yr 2022
\vol 83
\issue 5
\pages 743--754
\crossref{https://doi.org/10.1134/S0005117922050071}
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    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    References:34
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