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Вероятностные методы в анализе и теория аппроксимации 2025
27 ноября 2025 г. 15:10–15:45, Секция 1, г. Санкт-Петербург, Факультет математики и компьютерных наук СПбГУ (14-ая линия В. О., 29б), ауд. 201
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Information Diffusion on Graphs with Exogenous News Flow
V. A. Balash
Saratov State University
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Аннотация:
We consider the case when at each time step a certain number of graph nodes change their state under the influence of an exogenous news flow. A model of a competitive information process on undirected graphs is proposed. Еmpirical distributions of the number of vertices reached by a state, the number of news items circulating through the graph, and some other metrics are investigated.
Язык доклада: английский
* Zoom ID: 675-315-555, Password: mkn |
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