Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

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October 14, 2026

At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage

Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.

October 12, 2026

Road Injuries Leading Cause of Death Among Men Aged 10 to 39

Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

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.

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Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Ch. 1265. P. 266–273.

Dmitriev A., Lebedev A., Shulman I.

A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu graph. An empirical justification is presented for the self-organization of the segment of the X social network to the edge, which unites network users who post and repost content relevant to the 2016 and 2020 United States presidential debates. The time intervals during which the network is on the edge have been established. A comparison of quantitative indicators of the criticality of real and model time intervals was used to validate the discrete-time model.

Keywords: Social Media Dynamics and Information Dissemination

In book

Studies in Computational Intelligence

Vol. 1265: Complex Networks & Their Applications XIV. , Springer, 2026.

Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273

Added: October 13, 2026