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Communication Dans Un Congrès Année : 2021

Detection of Topology Changes in Dynamical System: An Information Theoretic Approach

Résumé

In this paper, we show that the theory of information offers some tools to detect changes in the interaction topology of a dynamical system defined on a graph. As an illustrative example, the system we consider is a probabilistic voter model defined on a scale-free network. We show that, using time-delayed mutual-information, the interaction topology of an unknown graph can be reconstructed to some level. We apply this approach on a sliding time window to detect possible changes in the interaction topology over time.
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Dates et versions

hal-04030984 , version 1 (15-03-2023)

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Citer

Pierre-Alain Toupance, Bastien Chopard, Laurent Lefèvre. Detection of Topology Changes in Dynamical System: An Information Theoretic Approach. 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020,, Dec 2020, Lodz, Poland. pp.26-35, ⟨10.1007/978-3-030-69480-7_4⟩. ⟨hal-04030984⟩

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