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Computer Research and Modeling, 2011, Volume 3, Issue 3, Pages 231–239
DOI: https://doi.org/10.20537/2076-7633-2011-3-3-231-239
(Mi crm663)
 

This article is cited in 7 scientific papers (total in 7 papers)

MATHEMATICAL MODELING AND NUMERICAL SIMULATION

Cognitive networks

I. A. Yevinab, A. A. Koblyakovc, D. V. Savricova, N. D. Shuvalovb

a Mechanical Engineering Institute, 4 Maliy Charitonjevskiy pereulok, Moscow, 101909, Russia
b Moscow Institute of Physics and Technology, 9 Institutsky per, Dolgoprudny, 141700 Russia
c Moscow State Conservatory, 13/6 Bolshaya Nikitskaya, Moscow, 124009, Russia
References:
Abstract: Traditional classification of real complex networks on biological, technological and social is incomplete, as there is a huge variety of artworks, which structure also can be presented in the form of networks. In this paper the review of researches of the complex networks, modeling some literary, musical and painting works is given. Corresponding networks are offered for naming cognitive networks. The possible directions of studying of such networks are discussed.
Keywords: scale-free networks, assortativity, clasterisation.
Received: 25.07.2011
Revised: 23.08.2011
Document Type: Article
UDC: 519.1+538.911
Language: Russian
Citation: I. A. Yevin, A. A. Koblyakov, D. V. Savricov, N. D. Shuvalov, “Cognitive networks”, Computer Research and Modeling, 3:3 (2011), 231–239
Citation in format AMSBIB
\Bibitem{YevKobSav11}
\by I.~A.~Yevin, A.~A.~Koblyakov, D.~V.~Savricov, N.~D.~Shuvalov
\paper Cognitive networks
\jour Computer Research and Modeling
\yr 2011
\vol 3
\issue 3
\pages 231--239
\mathnet{http://mi.mathnet.ru/crm663}
\crossref{https://doi.org/10.20537/2076-7633-2011-3-3-231-239}
Linking options:
  • https://www.mathnet.ru/eng/crm663
  • https://www.mathnet.ru/eng/crm/v3/i3/p231
  • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:127
    Full-text PDF :61
    References:18
     
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