在随机网络上自我适应的传染动态

Konstantin Clauß1, Christian Kuehn1,2

  • 1Department of Mathematics, Technical University of Munich, 85748 Garching bei München, Germany.

Chaos (Woodbury, N.Y.)
|September 11, 2023
PubMed
概括

这项研究引入了一种自我适应型建模方法,用于在不断发展的网络上的流行病动态. 这项研究揭示了流行病模型中的振荡行为和与自我组织的关键性的联系.

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