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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Measuring Personal Networks with Core Discussion Network Methodology: A Case of Russian Students

Quality and Quantity. 2025. Vol. 59. P. 4077–4095.
Mikhaylova O., Dokuka S.

This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we present results from an empirical study. The analysis focused on network parameters such as the size and density of ego-alter ties, alongside the socio-demographic characteristics of alters (gender, age, and relationship to ego). Results indicate that the structure of CDNs among Russian students in 2021 closely mirrors that of Ukrainian respondents from prior studies in terms of connection counts, proportions of relatives versus non-relatives, and the percentage of respondents reporting no discussion partners. However, variation coefficients for gender and age were distinct compared to earlier research, though direct comparisons were constrained by inconsistent reporting of standard deviations in existing literature. Our findings highlight the need for standardized metrics in personal network analysis to improve cross-study comparability.

Research target: Social Sciences
Language: English
Full text
DOI
Keywords: surveynetwork analysiscomparative researchquantitative researchpersonal networkscore discussion network
Publication based on the results of:
The contribution of education to the development of human capital in the Far East and the Arctic (2025)
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