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Recent studies have shown that scientists can benefit from participation in scientific networks as they can receive more and better information in a timely manner and have communication between employees. This paper shows an approach based on the use of methods of analysis of social graphs and thematic modeling to study the community of scientists working on the topic of hematology oncology in Russia. The proposed approach makes it possible to effectively identify research teams, as well as understand what issues they are working on at the moment. The use of this approach allows bringing the strategic management of scientific research within the framework of a scientific or educational organization to a new level, since it allows making data-based decisions in terms of scientific collaboration and assessing the long-term consequences of such decisions. In the work under consideration, the data of 2140 scientific articles from the Scopus/WoS databases on the topic of hematology oncology for 2016-2020 were used. © 2023 American Institute of Physics Inc.. All rights reserved.
Язык оригиналаАнглийский
Номер статьи090021
ЖурналAIP Conference Proceedings
Том2849
Номер выпуска1
DOI
СостояниеОпубликовано - 2023

    Предметные области ASJC Scopus

  • Физика и астрономия в целом

ID: 48547239