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Updated: Jun 16, 2025

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对于复杂网络上的流行过程,离散和连续时间平均场理论的准确性

Diogo H Silva1, Francisco A Rodrigues1, Silvio C Ferreira2,3

  • 1Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, SP 13566-590, Brazil.

Physical review. E
|August 20, 2024
PubMed
概括

在复杂的网络上对易受感染易受感染 (SIS) 流行病的离散和连续时间模型进行比较,可以发现关键差异. 离散时间模型显示了不同流行流行病的临界指数,突出显示了网络流行病建模中时间步骤选择的重要性.

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