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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Анализ текстов сообществ социальных сетей

Успехи кибернетики. 2023. Т. 4. № 2. С. 33–39.
Аванесян Н. Л., Зенькова В. В., Chepovskiy A., Chepovskiy A.

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 assess the quality of the implicit communities extraction on the graph obtained by importing data from the channel network of the Telegram messenger.

Research target: Mathematics Computer Science
Language: Russian
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Text on another site
Keywords: анализ социальных сетейчастотный словарьfrequency dictionaryrank correlationsранговая корреляцияsocial networks analysisautomated text analysisавтоматический анализ текстовcommunities of graphнеявные сообщества графов
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