|
Article information
2026 , Volume 31, ¹ 1, p.5-22
Maltseva S.V., Golubtsov P.V., Barakhnin V.B.
Modelling network informational interactions in cyber-physical-social systems
The issues of macro-level monitoring for the manufacturing system in the implementation of the concepts of Industry 4.0 and 5.0 based on the study of information flows in manufacturing network structures are considered. The numerical models of three types of network interaction, that taking into account the influence of the number of objects, external influences, and the interaction rules, are investigated. We present the results of numerical experiments using the proposed models, allowing analyzing the characteristics of network activity for different values of the model parameters. They include the occurrence of instabilities, competition of types of network activity, the influence of randomness, transient processes when changing external influences, and others. The main mechanisms for ensuring stability in network structures are considered. We discuss the recommendations for using information flow monitoring in tasks of ensuring stability of network manufacturing structures.
Keywords: cyber-physical-social system, social network, information interaction, sustainabilit
Author(s): Maltseva Svetlana Valentinovna Dr. , Professor Position: Professor Office: HSE University Address: 109028, Russia, Moscow, 11, Pokrovsky Bulvar
E-mail: smaltseva@hse.ru SPIN-code: 3700-6223Golubtsov Peter Viktorovich Dr. Office: M.V.Lomonosov Moscow State University Address: 119991, Russia, Moscow, Leninskie Gory,1
Phone Office: (495) 939-10-33 E-mail: golubtsov@physics.msu.ru SPIN-code: 6382-9598Barakhnin Vladimir Borisovich Dr. , Associate Professor Position: Leading research officer Office: Federal Research Center for Information and Computational Technologies Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave, 6
Phone Office: (383) 330 78 26 E-mail: bar@ict.nsc.ru SPIN-code: 1541-0448 Bibliography link: Maltseva S.V., Golubtsov P.V., Barakhnin V.B. Modelling network informational interactions in cyber-physical-social systems // Computational technologies. 2026. V. 31. ¹ 1. P. 5-22
|