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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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Analysis of weakly correlated nodes in market network

Computational Management Science. 2024. Vol. 21. Article 18.
Semenov D., Alexander Koldanov, Petr Koldanov

The aim of the article is to analyze graphs of weakly correlated stocks. Characteristics
of these graphs such as number of edges, histogram of vertices degrees, degrees
distribution, hubs and cliques are investigated. Pearson correlation and Kendall correlation
are used to construct these graphs. Graphs constructed by the traditional
procedure and by Holm procedure are compared. Obtained results are exemplified
on the data of French stock market. In particular it is shown that reliable maximum
cliques contain very few nodes despite the large number of edges in the graph of
weakly correlated stocks.

Research target: Mathematics Computer Science
Language: English
Full text
DOI
Keywords: correlation independent setsHubsMarket networkStock returnHistogram of vertices degreesDegrees distribution
Publication based on the results of:
Network models, optimization and computational complexity (2024)
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