СКЛАДОВІ АНАЛІЗУ НАУКОВИХ МЕРЕЖ

Заголовок (англійською): 
COMPONENTS OF SCIENTIFIC NETWORK ANALYSIS
Автор(и): 
Кучанський О.Ю.
Автор(и) (англ): 
Kuchansky Alexander
Ключові слова (укр): 
аналіз наукових мереж; мережа наукової співпраці; мережа цитування; наукометрія; науковий простір
Ключові слова (англ): 
scientific network analysis; scientific collaboration network; citation network; scientometrics; scientific space
Анотація (укр): 
Дослідження наукових просторів є складною задачею, яка має враховувати динаміку розвитку їх компонентів, а також враховувати численні зміни, які виникають внаслідок зростання швидкості продукування наукової інформації та її поширення. Аналіз об'єднань суб’єктів та об’єктів наукового простору, зокрема мереж наукової співпраці, мереж цитування та спільного цитування, є актуальною задачею дослідження, оскільки є в основі коректного оцінювання показників науково-дослідної діяльності загалом. В роботі наведено огляд задач, які виникають в межах аналізу наукових мереж: дослідження мереж наукової співпраці, дослідження мереж цитування, спільного цитування та бібліографічних з’єднань, ідентифікація напрямів наукових досліджень та аналіз тематик, побудова наукових мереж на основі спільних ключових слів, дослідження гетерогенних наукових мереж тощо. Глобальність поширення та динаміка розвитку наукових мереж визначає підходи до їх аналізу. Дослідження наукових мереж дає змогу зрозуміти структуру взаємодії суб’єктів та об’єктів наукових мереж (науковців, закладів вищої освіти та їх структурних підрозділів), а також провести ґрунтовне оцінювання їх науково-дослідної діяльності. Також наведено візуалізацію мережі наукової співпраці, що утворилась в межах виконання чотирьох бюджетних науково-дослідних робіт і одного проєкту програми Erasmus+KA2 за період з 2015 по 2020 роки. Візуалізація виконана з використанням силового алгоритму Фрухтермана – Рейнгольда. Також на основі алгоритму візуалізації Yifan Hu зображена мережа цитування публікацій науковців за цими ж проєктами. Результати оцінювання можуть бути використані як власне науковцями та освітніми установами для моніторингу динаміки науково-дослідної діяльності, так і державними органами, зокрема Міністерством освіти і науки України, а також органами місцевого самоврядування для фінансового стимулювання певних напрямів наукових досліджень, які мають позитивну динаміку та перспективи розвитку.
Анотація (англ): 
Scientific spaces research is a complex task that must take into account the dynamics of the development of their components, as well as account for the numerous changes that result from the increase in the speed of information production and its dissemination. The analysis of the associations of subjects and objects of the scientific space, including networks of scientific cooperation, citation networks and joint citation, is an urgent task of the research since it is the basis for the correct evaluation of their R&D indicators. The paper gives an overview of the problems arising in the analysis of scientific networks: research of scientific cooperation networks, research of citation networks, joint citation and bibliographic connections, identification of directions of scientific research and analysis of topics, construction of scientific networks based on common keywords, research of heterogeneous scientific networks. The globalization of the dissemination and the dynamics of the scientific network's development determine the approaches to their analysis. Study of scientific networks allows to understand the structure of interaction of subjects and objects of scientific networks (scientists, HEI and their structural divisions), as well as to conduct a thorough evaluation of their research activities. The paper presents a visualization of the scientific cooperation network within the framework of the implementation of four budget research topics and one Erasmus + KA2 project for the period from 2015 to 2020. The visualization performed using the power algorithm of the Fruchterman-Rheingold viewing. The citation network of scientists's publications based on the Yifan Hu visualization algorithm was presented. The results of the evaluation can be used both by scientists and educational institutions to monitor the dynamics of research activities. In particular, the Ministry of Education and Science of Ukraine, as well as by local self-government bodies, to financially stimulate specific areas of research that have positive dynamics and development prospects.
Публікатор: 
Київський національний університет будівництва і архітектури
Назва журналу, номер, рік випуску (укр): 
Управління розвитком складних систем, номер 41, 2020
Назва журналу, номер, рік випуску (рус): 
Управление развитием сложных систем, номер 41, 2020
Назва журналу, номер, рік випуску (англ): 
Management of Development of Complex Systems, Number 41, 2020
Мова статті: 
Українська
Формат документа: 
application/pdf
Документ: 
18.pdf
Дата публікації: 
28 Январь 2020
Номер збірника: 
41
Розділ: 
ІНФОРМАТИЗАЦІЯ ВИЩОЇ ОСВІТИ
Університет автора: 
Київський національний університет імені Тараса Шевченка, Київ
Литература: 
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  13. Barabási, A.-L. (2002). The New Science of Networks. Perseus Books Group, 288.
  14. Kobourov, S.G. (2012). Spring Embedders and Force-Directed Graph Drawing Algorithms. Biocode, URL: https://arxiv.org/abs/1201.3011
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  21. Watts, D.J. & Strogatz, S. (1998). Collective dynamics of 'small-world' networks. Nature, 393, 440 – 442.
  22. Kemper, A. (2010). Valuation of Network Effects in Software Markets: A Complex Networks Approach (Contributions to Management Science) 2010 Edition, Kindle Edition, 330.
  23. Egghe, L. & Rousseau, R. (1990). Introduction to Infometrics. Amsterdam: Elsevier, 450.
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  27. Hu, Y. (2005). Efficient and high quality forcedirected graph drawing. Mathematica Journal, 10, 37 – 71.
  28. Small, H. (1973). Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science, 24, 265 – 269.
  29. Garfield, E. (2001). From Bibliographic Coupling to Co-CitationAnalysis Via Algorithmic Historio-Bibliography. A citationist’s tribute to Belver C. Griffith, Presented at Drexel University, Philadelphia, PA, URL: https://garfield.library.upenn.edu/papers/drexelbelvergriffith92001.pdf
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  31. National Academies of Sciences Engineering Medicine. Facilitating Interdisciplinary Research. URL: https://www.nap.edu/catalog/11153/facilitating-interdisciplinary-research
  32. Bhattacharya, S. & Basu, P. (1998). Mapping a research area as the micro level using co-word analysis. Scientometrics, 43(3), 359–372. doi:10.1007/BF02457404
  33. Glänzel, W. (2012). Bibliometric methods for detecting and analysing emerging research topics. El profesional de la informacion, 21(2), 194 – 201.
  34. Mulesa, O., Geche, F. & Batyuk, A. (2015). Information technology for determining structure of social group based on fuzzy c-means. Proceedings of the International Conference on Computer Sciences and Information Technologies (CSIT), 60–62. doi: 10.1109/STC-CSIT.2015.7325431
  35. Shvets, A., Devyatkin, D., Sochenkov, I., Tikhomirov, I., Popov, K. & Yarygin, K. (2015). Detection of current research directions based on full-text clustering. Proceedings of the Science and Information Conference (SAI), 152–156. doi: 10.1109/SAI.2015.7237186
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  41. Otradskaya, T. & Gogunskii, V. (2016). Development process models for evaluation of performance of the educational establishments. Eastern-European Journal of Enterprise Technologies, 3(81), 12–21. doi:10.15587/1729-4061.2016.66562
  42. Otradskaya, T., Gogunskii, V., Antoschuk, S. & Kolesnikov, O. (2016). Development of parametric model of prediction and evaluation of the quality level of educational institutions. Eastern-European Journal of Enterprise Technologies, 5(3(83)),
    12     – 21. doi:10.15587/1729-4061.2016.80790
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  46. Higham, K. W., Governale, M., Jaffe, B. & Zulicke, U. (2017). Unraveling the dynamics of growth, aging and inflation for citations to scientific articles from specific research fields. Journal of Informetrics, 11, 1190 – 1200.