Preview

Vestnik of M. Kozybayev North Kazakhstan University

Advanced search

Initial stages of research on infocenosis in sociotechnical systems: application of rank distributions

https://doi.org/10.54596/2958-0048-2025-1-215-224

Abstract

The article presents the results of a preliminary study on the application of the cenological approach to the analysis of sociotechnical systems, with a focus on their stability, dynamics, and the optimization of interactions between components. The study examines the use of rank distribution models to explore information systems, their adaptability to changing conditions, and the impact of external factors. The results of this research open new perspectives for further in-depth study of sociotechnical systems and the development of optimization models and methods for managing information systems.

About the Authors

O. A. Vagina
«Manash Kozybayev North Kazakhstan University» NPLC
Kazakhstan

IS-M-23 Master's student

Petropavlovsk



V. P. Kulikov
«Manash Kozybayev North Kazakhstan University» NPLC
Kazakhstan

Professor of the ICT Department

Petropavlovsk



V. P. Kulikova
«Manash Kozybayev North Kazakhstan University» NPLC
Kazakhstan

Professor of the ICT Department

Petropavlovsk



References

1. Akulin V.M. Mashinnoe obuchenie: Metody i algoritmy. - SPb.: Piter, 2018.

2. Buhovec A.G. Sistemnyj podhod i rangovye raspredeleniya v zadachah klassifikacii. [Elektronnyj resurs]. URL: 15 (data obrashcheniya: 07.11.2024).

3. Gnatyuk V.I. Rangovyj analiz tekhnocenozov. // Elektrika. - 2001. - №8. - S. 14-22.

4. Gnatyuk V.I. Tekhnologiya rangovogo analiza tekhnocenozov. [Elektronnyj resurs]. URL: http://elib.spbstu.ru/dl/func/lex_5.htm (data obrashcheniya: 07.11.2024).

5. Gurina R.V. Cenologicheskie metody v obrazovatel'nyh sistemah // Polzunovskij vestnik. - 2004. - №3. - S. 133-138.

6. Gurina R.V. Rangovyj analiz pedagogicheskih sistem (cenologicheskij podhod): Metodicheskie rekomendacii dlya rabotnikov obrazovaniya. Vyp. 32. «Cenologicheskie issledovaniya». - M.: Tekhnetika, 2006. - 40 s.

7. Gurina R.V. Cenologicheskie issledovaniya pedagogicheskih obrazovatel'nyh sistem. [Elektronnyj resurs]. URL: http://kudrinbi.ru (data obrashcheniya: 07.11.2024).

8. Dorofeev V.A., As'yanova N.K. K voprosu o primenimosti parametricheskogo rangovogo raspredeleniya v izuchenii malyh grupp v organizacii. [Elektronnyj resurs]. URL: https://cyberleninka.ru/article/n/k-voprosu-o-primenimosti-parametricheskogo-rangovogo-raspredeleniya-v-izuchenii-malyh-grupp-v-organizatsii (data obrashcheniya: 07.11.2024).

9. Kudrin B.I. Vvedenie v tekhnetiku. 2-e izd., pererab. i dop. - Tomsk: Izd. Tomsk. gos. un-ta, 1993. - 552 s.

10. Kudrin B.I., Zhilin B.V., Lagutkin O.E., Oshurkov M.G. Cenologicheskoe opredelenie parametrov elektropotrebleniya mnogonomenklaturnyh proizvodstv. - Tula: Priok. kn. izd-vo, 1994. - 161 s.

11. Kulikov V.P., Kulikova V.P. Ustojchivost' processa/rezul'tata obucheniya kak konceptual'noe yadro ego oformleniya i dokumentirovaniya // Sovremennye tendencii estestvenno-matematicheskogo obrazovaniya: shkola – vuz. Materialy XI Vserossijskoj nauchno-prakticheskoj konferencii, 8–9 aprelya 2022 g. - Solikamsk: SGPI; OOO «Tipograf», 2022. - 103 s.

12. Leonov V.P. Sovremennye problemy informatiki. Vvedenie v semiotiku informacionnyh tekhnologij: uchebnoe posobie. - Tomsk: Izd-vo NTL, 2011. - 248 s.

13. Lukashevich N.V. Matematicheskaya statistika dlya ekonomistov. - M.: Yurajt, 2012.

14. Matematicheskoe opisanie cenozov i zakonomernosti tekhnetiki. Filosofiya i stanovlenie tekhnetiki. Vyp. 1, vyp. 2. «Cenologicheskie issledovaniya». - Abakan: Centr sistemnyh issledovanij, 1996. - 452 s.

15. Metod naimen'shih kvadratov – bezoshibochno i bystro! [Elektronnyj resurs]. URL: https://mathprofi.ru/metod_naimenshih_kvadratov_bez_oshibok.html (data obrashcheniya: 07.11.2024).

16. Metod naimen'shih kvadratov: metodicheskie ukazaniya / sost.: L.V. Kolomiec, N.Yu. Ponikarova. - Samara: Izd-vo Samarskogo un-ta, 2017. - 32 s.

17. Metod naimen'shih kvadratov: formuly, kod i primenenie. [Elektronnyj resurs]. URL: https://habr.com/ru/post/409201 (data obrashcheniya: 07.11.2024).

18. Ontologiya modelirovaniya i proektirovaniya semanticheskih informacionnyh sistem i portalov (Spravochnoe posobie) / sost. Il'in I.V., Mordvinov V.A., Petrov K.A., Trifonov N.I., Finagin L.A. - M.: Institut sistemnogo analiza, 2008.

19. Ryabko B.Ya., Kudrin B.I., Zavalishin N.N., Kudrin A.I. Model' formirovaniya statisticheskoj struktury biocenozov. // Izvestiya Sib. otdeleniya AN SSSR. Seriya biol. nauk. - 1978. - Vyp. 1. - S. 17-25.

20. Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning. - MIT Press, 2016.

21. Han, J., Pei, J., & Kamber, M. Data Mining: Concepts and Techniques. - Morgan Kaufmann, 2011.

22. Kuhn, M., & Johnson, K. Applied Predictive Modeling. - Springer, 2013.

23. LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. Gradient-based learning applied to document recognition. // Proceedings of the IEEE. - 1998. - Vol. 86. - No. 11. - P. 2278–2324.

24. Wooldridge, J. M. Econometric Analysis of Cross Section and Panel Data. - MIT Press, 2010.


Review

For citations:


Vagina O.A., Kulikov V.P., Kulikova V.P. Initial stages of research on infocenosis in sociotechnical systems: application of rank distributions. Vestnik of M. Kozybayev North Kazakhstan University. 2025;(1 (65)):215-224. (In Russ.) https://doi.org/10.54596/2958-0048-2025-1-215-224

Views: 86


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2958-003X (Print)
ISSN 2958-0048 (Online)