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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Схожесть или близость? Структура социальных связей школьников в масштабе области

Городские исследования и практики. 2020. Т. 4. № 1. С. 88–104.
Dokuka S., Smirnov I., Dementeva J.

There are two factors that are generally considered key in the formation of social networks. One is homophily or the tendency of similar individuals to connect with each and the other is geographical proximity. The roles of homophily and proximity, however, are rarely compared. This means that there are no good estimates of the relative importance of these two mechanisms. We use data from 631 schools of the Samara and Tomsk regions to compare the role of homophily by academic performance and interests with the role of geographical proximity in the formation of online social ties between students from different schools. We analyzed information on friendship ties between 20,000 users of VKontakte (the most popular social networking site in Russia) from these schools. We find that geographical proximity is the key factor in the formation of social ties: the probability of a friendship tie between geographically close schools is high (60–85%), but it rapidly decreases with distance and is less than 5% for schools that are far apart from each other. We also find that homophily plays a less important role although similarity in interests has a higher predictive power for the probability of a friendship tie than similarity in academic performance. The results are similar for both regions, which might indicate their universal nature.
Our results indicate that, even in the digital age, the key factor in the formation of social ties is proximity while homophily determines social ties to a lesser extent.

Research target: Sociology (including Demography and Anthropology Education
Priority areas: sociology
Language: Russian
Text on another site
Keywords: социальные сетиsocial networksproximityHomophilyгеографическая близостьVkontaktefriendship networksсети дружбыВКонтактегомофилия
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