Персона:
Антонов, Евгений Вячеславович

Научные группы

Научная группа

Центр анализа и прогнозирования мирового научно-технологического развития

Организационные подразделения

Организационная единица

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.

Фамилия

Антонов

Имя

Евгений Вячеславович

Полная страница элемента

Результаты поиска

Теперь показываю 1 - 8 из 8

Только метаданные
Graph visualization of the characteristics of complex objects on the example of the analysis of politicians
(2020) Ulizko, M.; Tukumbetova, R.; Antonov, E.; Artamonov, A.; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич
© 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).The paper considers the task of analyzing complex interconnected objects using graph construction. There is no unified tool for constructing graphs. Some solutions can build graphs limited by the number of nodes, while others do not visually display data. The Gephi application was used to construct graphs for the research. Gephi has great functionality for building and analyzing graphs. The subject of research is a politician with a certain set of characteristics. In the paper an algorithm that enables to automate data collection on politicians was developed. One of the main methods of data collecting on the Internet is web scraping. Web scraping software may access the World Wide Web directly using the HTTP, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a software agent. The data was necessary for constructing graphs and their analysis. The use of graphs enables to see various types of relationships, including mediate. This methodology enables to change the attitude towards the analysis of multidimensional objects.
Только метаданные
Visualization of graph-based representations for analyzing related multidimensional objects
(2020) Ulizko, M. S.; Antonov, E. V.; Artamonov, A. A.; Tukumbetova, R. R.; Улизко, Михаил Сергеевич; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич; Тукумбетова, Руфина Рашитовна
© 2020 National Research Nuclear University. All rights reserved.The paper considers the task of analyzing complex interconnected objects using graphs. The subject of the research is such multidimensional object as a "politician". The paper presents the main methods of visualizing multidimensional data and the choice of data analysis is justified using graphs. An algorithm that enables to automate data collection on politicians was developed. One of the main methods of data collecting on the Internet is web scraping. Web scraping software may access the World Wide Web directly using the HTTP, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a software agent. The process of transition from an object of the "personality" type to its graph representation with various types of nodes and edges is described. The use of graphs enables to see various types of relationships, including mediate. The features of the used Gephi software for data analysis are presented. This methodology enables to change the attitude towards the analysis of multidimensional objects.
Только метаданные
Multiagent information technologies in system analysis
(2019) Inkina, V. A.; Antonov, E. V.; Artamonov, A. A.; Ionkina, K. V.; Tretyakov, E. S.; Cherkasskiy, A. I.; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич; Ионкина, Кристина Вячеславовна; Черкасский, Андрей Игоревич
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).Agent technologies currently play an increasingly important role in the information technology industry given its ability to learn and evolve, to solve information management problems, to employ data visualization and many other benefits. As a computer program, an agent deals with a challenge Internet users face every single day: to obtain reliable and effective data in the specific thematic field. Multiagent system consists of two or more autonomous agents and aimed at solving complex problems, such as Big Data, Data mining, primary structured and unstructured information processing (including text, numbers and multimedia types of data).
Только метаданные
Critical Paths of Information Dissemination in Networks
(2022) Ulizko, M. S.; Artamonov, A. A.; Tukumbetova, R. R.; Antonov, E. V.; Vasilev, M. I.; Улизко, Михаил Сергеевич; Артамонов, Алексей Анатольевич; Тукумбетова, Руфина Рашитовна; Антонов, Евгений Вячеславович
© 2022 National Research Nuclear University. All rights reserved.The development of information and communications technology in the 21st century has led to a shift in the distribution of information from traditional print media to electronic media. New means of informing the public have emerged, such as social networks and messengers, which made it possible to share information almost instantly and over long distances. In this regard, it has become a daunting task to analyze the patterns of information spreading, particularly, by studying information sources, revealing hidden interests and bias, identifying opinion leaders. The article presents methods for solving the problems of network analysis of identifying information dissemination patterns, determining «critical paths» of information dissemination by analyzing messages and news in the Telegram messenger.
Только метаданные
Trend Visualization of Academic Field: Proposed Method and Big Data Review
(2022) Antonov, E. V.; Artamonov, A. A.; Rudik, A. V.; Malugin, M. I.; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич; Рудик, Андрей Владимирович; Малугин, Матвей Игоревич
© 2022 National Research Nuclear University. All rights reserved.Research trends analysis is essential for scientists or governments to understand the present and predict the future of the field. Nowadays it is time-consuming to examine papers for following up on the latest trend in specific research interests. In our study, we present the distributed architecture of the system for automated data collection and analysis. Furthermore, we propose the data extraction workflow for collecting data from multiple sources. The interactive dashboard is implemented with a set of different visualizations for tracing research trends. As a practical implementation of the developed system, a research trend analysis of Big Data technologies is carried out. The set of 34062 articles was processed and collected on that topic from 25 selected internet sources. Finally, a review of Big Data technologies is presented using the developed dashboard, and cases of its use are considered. An analysis of the topic on a specific period, country, and the field is shown and discussed. In addition, the authors try to give a perspective of the future development of Big Data field and its association with related fields.
Только метаданные
Evaluation of Named Entity Recognition Software Packages for Data Mining
(2024) Sokolov, I.; Antonov, E.; Artamonov, A.; Соколов, Иван Дмитриевич; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич
Только метаданные
Designing a System for Monitoring the Publication Activity of the Scientific Organization
(2024) Malugin, M.; Antonov, E.; Artamonov, A.; Малугин, Матвей Игоревич; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич
Только метаданные
Visual analytics of twitter and social media dataflows: A casestudy of COVID-19 rumors
(2021) Grigorieva, M. A.; Ulizko, M. S.; Antonov, E. V.; Tretyakov, E. S.; Tukumbetova, R. R.; Artamonov, A. A.; Улизко, Михаил Сергеевич; Антонов, Евгений Вячеславович; Тукумбетова, Руфина Рашитовна; Артамонов, Алексей Анатольевич
© 2021 National Research Nuclear University. All rights reserved.One of the most significant and rapidly developing fields of data analysis is information flow management. In the course of the analysis targeted and stochastic dissemination patterns are studied. The solving of such problems is daunting due to the global growth of the amount of information and its availability for a wide range of users. The paper presents a study of dissemination of information in open networks on the example of COVID-19. The study was conducted with the use of web scraping, methods of linguistic analysis and visual analytics. As sources of information variety of sources were used, such as the largest world and Russian information services, social networks and instant messengers. The paper considers statistical analysis of English media articles and posts form Twitter, dissemination of data flows between countries and information source. The developed methods can be scaled up to analyse information events of various topics.