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Subject
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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?

Program Tools for Dynamic Investigation of Social Networks

P. 224–236.
Mikov A., Zamyatina E., Germanova D.

This paper discusses the design and development of software tools for simulation of social networks. It is well known that social networks have become the object of attention of sociologists, political scientists, market-ers, etc. The paper identifies two trends in the investigation of social networks: static and dynamic. Static approach involves the study of geometric forms of social networking, network structure (topology), its basic properties (the degree of centrality, distance, and so on). The dynamic approach makes it possible to follow the various stages of a social network formation, to identify the connec-tions between nodes of social network, to identify the formation of clusters in the Internet-graph. Paper considers the existing software tools for social net-work simulation and put forward demands to the software of this kind (agent-based approach, distributed simulation). Moreover paper discusses if it is possi-ble to use computer network simulator TriadNS for modeling of social networks and the definition of both static and dynamic characteristics of these networks.

Language: English
Full text
Keywords: social networksимитационное моделированиеsimulationdynamic characteristicsmodellingstatic characteristics

In book

Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016.
Vol. 1710. , Aachen: CEUR Workshop Proceedings, 2016.
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