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  • НЕЯВНЫЕ СООБЩЕСТВА В СЕТЯХ И ИНФОРМАЦИОННОЕ ВОЗДЕЙСТВИЕ
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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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НЕЯВНЫЕ СООБЩЕСТВА В СЕТЯХ И ИНФОРМАЦИОННОЕ ВОЗДЕЙСТВИЕ

С. 24–25.
Chepovskiy A., Chepovskiy A.
Language: Russian
Full text
DOI
Keywords: expert comminityнеявные сообщества графов

In book

Международная математическая конференция «Современные мате-матические модели в энергетике», посвящённая памяти профессора, д.ф.-м.н. В. А. Тупчиева (Обнинск, 25–26 октября 2024 г.): Сборник тезисов научной конференции
М.: НИЯУ МИФИ, 2024.
Similar publications
Анализ текстов сообществ социальных сетей
Аванесян Н. Л., Зенькова В. В., Chepovskiy A. et al., Успехи кибернетики 2023 Т. 4 № 2 С. 33–39
In this paper the authors describe the methodology for the statistical analysis of texts in the network of Telegram channels based on comparison of automatically generated frequency dictionaries by methods of correlation analysis. Coefficients of pairwise rank correlation are considered for comparing the frequency characteristics of texts in natural language. The method is proposed to ...
Added: July 19, 2023
Экспертное сообщество, фабрики мысли и власть: опыт трех регионов.
Sungurov A., Полис. Политические исследования 2014 № 2 С. 72–87
The paper devoted to the analysis of development of expert communities and “think tanks” in three neighbor Russian regions: Chelyabinskaya and Sverdlovskayaoblasti and Permskiykray. It was demonstrated on the experience of these three regions that prominent conditions for the arising ‘think tanks’ of different types are a real level of political plurality and existence of ...
Added: May 8, 2014
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