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Self-Organization in Network Sociotechnical Systems. / Maltseva, Svetlana; Kornilov, Vasily; Barakhnin, Vladimir et al.

In: Complexity, Vol. 2022, 5714395, 2022.

Research output: Contribution to journal › Review article › peer-review

Harvard

Maltseva, S, Kornilov, V, Barakhnin, V & Gorbunov, A 2022, 'Self-Organization in Network Sociotechnical Systems', Complexity, vol. 2022, 5714395. https://doi.org/10.1155/2022/5714395

APA

Maltseva, S., Kornilov, V., Barakhnin, V., & Gorbunov, A. (2022). Self-Organization in Network Sociotechnical Systems. Complexity, 2022, [5714395]. https://doi.org/10.1155/2022/5714395

Vancouver

Maltseva S, Kornilov V, Barakhnin V, Gorbunov A. Self-Organization in Network Sociotechnical Systems. Complexity. 2022;2022:5714395. doi: 10.1155/2022/5714395

Author

Maltseva, Svetlana ; Kornilov, Vasily ; Barakhnin, Vladimir et al. / Self-Organization in Network Sociotechnical Systems. In: Complexity. 2022 ; Vol. 2022.

BibTeX

@article{a75e27ac3e72405bbb948ff558073d6d,
title = "Self-Organization in Network Sociotechnical Systems",
abstract = "We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; we analyze models used for modeling self-organizing networked dynamical systems. It is shown that discrete models prevail at the micro level. Furthermore, the review deals with the features of using continuous models for modeling at the macro level.",
author = "Svetlana Maltseva and Vasily Kornilov and Vladimir Barakhnin and Alexander Gorbunov",
note = "(is work was supported by the Russian Foundation for Basic Research (Project 20-07-00651 A–Investigation into the stability of self-organizing distributed digital systems based on models of the social networks dynamics). Publisher Copyright: {\textcopyright} 2022 Svetlana Maltseva et al.",
year = "2022",
doi = "10.1155/2022/5714395",
language = "English",
volume = "2022",
journal = "Complexity",
issn = "1076-2787",
publisher = "John Wiley & Sons Inc.",

}

RIS

TY - JOUR

T1 - Self-Organization in Network Sociotechnical Systems

AU - Maltseva, Svetlana

AU - Kornilov, Vasily

AU - Barakhnin, Vladimir

AU - Gorbunov, Alexander

N1 - (is work was supported by the Russian Foundation for Basic Research (Project 20-07-00651 A–Investigation into the stability of self-organizing distributed digital systems based on models of the social networks dynamics). Publisher Copyright: © 2022 Svetlana Maltseva et al.

PY - 2022

Y1 - 2022

N2 - We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; we analyze models used for modeling self-organizing networked dynamical systems. It is shown that discrete models prevail at the micro level. Furthermore, the review deals with the features of using continuous models for modeling at the macro level.

AB - We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; we analyze models used for modeling self-organizing networked dynamical systems. It is shown that discrete models prevail at the micro level. Furthermore, the review deals with the features of using continuous models for modeling at the macro level.

UR - http://www.scopus.com/inward/record.url?scp=85128447106&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e94a5a50-72dd-3b65-a201-a3601a213e2e/

U2 - 10.1155/2022/5714395

DO - 10.1155/2022/5714395

M3 - Review article

AN - SCOPUS:85128447106

VL - 2022

JO - Complexity

JF - Complexity

SN - 1076-2787

M1 - 5714395

ER -

ID: 35957270