Modeling of the Ukrainian scientific space based on the analysis of data on the defense of dissertations
The author is a member of the editorial board, and without taking part in the review process, decisions were made prior to the publication of this article.
DOI:
https://doi.org/10.17721/AIT.2023.1.11Keywords:
scientific space, weakly structured system, heuristics, thesis, adjacency matrix, scientific centers, research topic, formalization.Abstract
Background. The paper considers the concept of scientific space and the peculiarities of its formation in Ukraine. Methods. Methods of heuristic analysis of weakly-structured information are used. Results. The structure of information about defended theses was studied. Heuristics, which, firstly, contribute to the structuring of the existing weakly structured information, secondly, supplement the information that is not enough to formalize the problem to known mathematical models, thirdly, declare the position of the authors a priori, mark the outline of the further presentation of the material and research limitations, which the authors limit themselves are introduced. Approaches to the analysis of theses defended in Ukraine during 1993-2020 are presented. Parameters of defended theses whose values are available in open-access databases and identifiers assigned to them are listed. An analysis of Ukrainian cities in which a large number of theses were completed and defended was carried out. Such cities are defined as scientific centers. A matrix of statistics of correlations between scientific organizations of Ukrainian cities was built. An illustration of the correlations between the cities of Ukraine is provided, and the diagram of these correlations is displayed on the map of Ukraine. In this way, the preliminary structuring of the scientific space in terms of preparation and defense of theses was carried out. Models were developed and directions for further research of the scientific space of Ukraine were determined. Based on text analysis, it is proposed to identify keywords in abstracts of theses and to determine research directions by analyzing the degree of similarity between sets of keywords related to theses. Сonclusions. Implementation of the research results will foster versatile development of the scientific space in Ukraine and strengthen its scientific potential.Downloads
References
Biloshchytskyi, A., Kuchansky, A., Andrashko, Yu., Biloshchytska, S., Dubnytska, A., & Vatskel, V. (2017). The Method of the Scientific Directions Potential Forecasting in Infocommunication Systems of an Assessment of the Research Activity Results. 2017 IEEE International Conference «Problems of Infocommunications. Science and Technology» (р. 69–72). doi: https://doi.org/10.1109/INFOCOMMST.2017.8246352
Biloshchytskyi, A., Myronov, O., Reznik, R., Kuchansky, A., Andrashko, Yu., & Paliy, S. (2017). A method to evaluate the scientific activity quality of HEIs based on a scientometric subjects’ presentation model. Eastern-European Journal of Enterprise Technologies, (6, 2 (90)), 16–22. doi: https://doi.org/10.15587/1729-4061.2017.118377
Chorniy, I. V., Pertceva, V. A., & Golopich, I. M. (2019). Methodology of thesis research. Language distinctions of the scientific style: handbook. Kharkiv, Kharkiv National University of Internal Affairs KNUVS [in Ukrainian].
Ding, Y. (2011). Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks. Journal of Informetrics, 5(1), 187–203. doi: https://doi.org/10.1016/j.joi.2010.10.008
Joint State Open Data Web Portal. https://data.gov.ua/dataset?tags=національний_репозитарій [in Ukrainian].
Kornienko, V. O., Plakhotnyuk, S. S., & Kornienko, V. O. (2010). Scientific Space as Integrated System: Structural Analysis of the Notion. Internet publication of the proceedings of Х International Scientific-Practical Conference «Humanism and Education». http://conf.vntu.edu.ua/humed/2010/txt/kornienko.php [in Ukrainian].
Kuchansky, A. (2020). Components of scientific network analysis. Management of development of complex systems, (41), 115–126. doi: https://doi.org/10.32347/2412-9933.2020.41.115-126
Marchenko, O. V. (2012). Methodological Strategies of Scientific Space Research. Innovatciya [in Ukrainian].
Moed, H., Glanzel, W., & Schmoch, U. (2004). Handbook of Quantitative Science and Technology Research. Springer Netherlands.
Monastyrskiy, G.L. (2014). Organization Theory. Ternopil: West Ukrainian National University [in Ukrainian].
National Agency for Higher Education Quality Assurance. (2020). Annual report of National Agency for Higher Education Quality Assurance for the year 2019. https://elibrary.kubg.edu.ua/id/eprint/30705/1/O_Melnychenko_NDVGOVSUS_AO_PI.pdf [in Ukrainian]
Rashkevich, Yu. M. (2014). Bologna Process and New Paradigm of the Higher Education. Lviv Politechnika [in Ukrainian].
The State Statistics Service.(2020). http://www.ukrstat.gov.ua/ [in Ukrainian]
Volovik, V. I., Lepskiy, M. A., Butchenko, T. I., & Krasnokutckiy, O. V. (2011). Social philosophy. Prosvita [in Ukrainian].
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Advanced Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License
