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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Network analysis based on a typology of nodes

P. 119–135.
Matveenko V., Korolev A. V.

We study game equilibria in a network, in each node of which an economy is described by a two-period model of endogenous growth with production and knowledge externalities. Each node obtains an externality produced by the sum of knowledge in neighbour nodes. Uniqueness of the inner equilibrium is proved. Ways of behaviour of agent (passive, active, or hyperactive) in dependence on received externalities are studied. Classification of networks based on a notion of type of node is provided. It is shown that the inner equilibrium depends not on the network’s size or topology but on its structure in terms of the types of nodes, and in networks with similar types structure agents in nodes of the same type behave similarly. Changes of the equilibrium under changes in the network structure are studied, as well as network formation, in particular, connection of network components, and appearance of new links.

Language: English
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Keywords: productionNash equilibriumnetwork formationknowledgenetworkcentralityexternalitynetwork gametype of nodeundirected graphgrowth of network

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Proceedings of the Fourth Russian Finnish Symposium on Discrete Mathematics
Proceedings of the Fourth Russian Finnish Symposium on Discrete Mathematics
Issue 22. , University of Turku, 2017.
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