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  • Средства визуальной аналитики для комплексного исследования результатов многопараметрического описания пользователей социальных интернет-сервисов
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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Средства визуальной аналитики для комплексного исследования результатов многопараметрического описания пользователей социальных интернет-сервисов

Научная визуализация. 2018. Т. 10. № 4. С. 82–99.
Рябинин К. В., Белоусов К. И., Чуприна С. И., Shchebetenko S., Пермяков С. С.

The paper is devoted to the usage of the visual analytics methods and means for systematiс exploration of the results of a multi-parameter data of social Web-based service users. These data include language characteristics of the users’ comments and posts obtained from the social services they use, as well as psychological and social characteristics obtained from their profiles and from the results of surveys they fulfilled. Suggested visual analytics tools enable to present the correlations between different users’ characteristics in an observable form and to help proposing and testing hypotheses without repeating the initial data processing experiment, using just visual analytics tools to produce new results. This in turn enables to uncover and study the regularities in the input data. Semograph linguistic analysis software is suggested as a tool to collect and preprocess the data. SciVi ontology-driven multiplatform adaptive scientific visualization system is proposed to be a visual analytics tool.
Because the input data have a lot of interconnections, the described visual analytics tools are based on a graph data representation model. Circular graph with adjustable hierarchical ring scale and free structured graph are supported within SciVi to ensure advanced visual analytics. The paper presents the main interactive features and implementation details of suggested tools. In particular, different filtering mechanisms for nodes and arcs are presented, as well as the means to navigate through different input data slices.
The implemented visual analytics tools are tested by solving the real world problems related to the results of psychological surveys. The survey was conducted among the users of VKontakte social network. The dependencies between their psychological characteristics and verbal behavior are discovered.

Research target: Psychology
Priority areas: humanitarian IT and mathematics engineering science
Language: Russian
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Keywords: онтологический инжинирингграфыpersonality traitsчерты личностивизуальная аналитикаvisual analyticsgraphsontology engineeringlingual parametersBig Five Inventorysocial network usersязыковые параметрыBig Five Inventoryпользователи социальных сетей
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