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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
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
Citation:
I. A. Yevin, A. A. Koblyakov, D. V. Savricov, N. D. Shuvalov, “Cognitive networks”, Computer Research and Modeling, 3:3 (2011), 231–239
Linking options:
https://www.mathnet.ru/eng/crm663 https://www.mathnet.ru/eng/crm/v3/i3/p231
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Abstract page: | 127 | Full-text PDF : | 61 | References: | 18 |
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