A method for assessing the productivity trends of collective scientific subjects based on the modified PageRank algorithm
| Autor: | Yurii Andrashko, Oleksandr Kuchanskyi, Andrii Biloshchytskyi, Oleksandr Pohoriliak, Myroslava Gladka, Ganna Slyvka-Tylyshchak, Dmytro Khlaponin, Ivan Chychkan |
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| Rok vydání: | 2023 |
| Předmět: |
scientific productivity
collective scientific subject Applied Mathematics Mechanical Engineering Energy Engineering and Power Technology scientometrics Industrial and Manufacturing Engineering Computer Science Applications Control and Systems Engineering Management of Technology and Innovation scientific work Environmental Chemistry PageRank algorithm Electrical and Electronic Engineering Food Science |
| Zdroj: | Eastern-European Journal of Enterprise Technologies. 1:41-47 |
| ISSN: | 1729-4061 1729-3774 |
| Popis: | The task of calculating the productivity of collective scientific subjects is a relevant issue in scientometrics. This study formalized the problem of assessing productivity trends of collective scientific subjects. The TWPR-CI method for calculating the performance based on the modified PageRank algorithm is described. Formulas for calculating productivity have been derived that make it possible to take into account a change in the productivity of collective scientific subjects over time. The indicators of the basic average absolute change in performance and the chain average relative change in performance were chosen as the basis. To select promising, from the point of view of scientific work, collective subjects, preference is given to those whose basic average absolute change in productivity is positive or the chain average relative change in productivity exceeds unity. Verification of the method for assessing performance trends of collective scientific entities based on the modified PageRank algorithm using the public dataset Citation Network Dataset was carried out. The dataset includes more than 5million scientific publications and 48million citations. The citation of scientific publications of 27,500collective scientific subjects for the period from 2000 to 2022 was analyzed. For this period, for 15 selected collective scientific subjects, performance is calculated using the TWPR-CI method, as well as estimates of productivity trends based on their average relative change. There are three classes of collective scientific subjects according to productivity trends. The results indicate the relevance of the proposed method for quantifying the productivity trends of collective scientific entities (higher education institutions, scientific institutes, laboratories, and other institutions engaged in scientific activities) |
| Databáze: | OpenAIRE |
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