COMPONENTS OF SCIENTIFIC NETWORK ANALYSIS

Abstract

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.