Персона:
Черкасский, Андрей Игоревич

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Институт международных отношений
Цель ИМО и стратегия развития - системная подготовка высококвалифицированных кадров, способных решать нестандартные задачи при реализации международных научно-технологических и торгово-промышленных проектов для компаний и корпораций ключевых секторов экономики страны.
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Андрей Игоревич
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    MECHANISMS for IDENTIFYING the PATTERNS of the DYNAMICS of SCIENTIFIC and TECHNICAL PUBLICATIONS on the EXAMPLE of the THEMATIC DIRECTION "ROBOTICS"
    (2021) Cherkasskaya, M.; Cherkasskiy, A.; Pronicheva, L.; Черкасский, Андрей Игоревич; Проничева, Лариса Владимировна
    Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).Scientific activity is a source of new knowledge and the creation of the latest technologies to improve the quality of life. The results of research are presented in the form of articles published in scientific journals or collections of scientific conferences, thereby being the main channel of communication in the scientific environment, and also characterize the state of the scientific organization and the country in the world scientific ranking. The article analyzes the world publication activity of countries on the example of the direction - "Robotics" based on the data of the Web of Science system. It was revealed that the development of technologies is subject to certain laws and it is possible to build predicative models for the emergence of new technologies.
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    Methods for identifying an information object in social networks
    (2021) Cherkasskaya, M.; Cherkasskiy, A.; Artamonov, A.; Leonova, N.; Черкасский, Андрей Игоревич; Артамонов, Алексей Анатольевич; Леонова, Наталия Михайловна
    © 2020 Elsevier B.V.. All rights reserved.Social networks are a unique phenomenon in which a large amount of unstructured information about various users is collected. The collected data can be used to identify different groups of users for the purpose of delivering targeted information to them. The article discusses the issues of building models of thematic groups of users based on multi-criteria assessment and using agent technologies of information collection and processing. The implementation of this method expands the possibilities of social research and the formation of thematic user groups for monitoring and analyzing situations in various areas of human activity. The proposed concept has shown its effectiveness on the training and control sample of objects, which makes it possible to predict the effectiveness of the use of agent technologies for scanning information resources of social media.