Epidemic dynamics on higher-dimensional small world networks

作者：

Highlights：

• Dimension parameter improves fitting and prediction of real network properties.

• Continuous state spreading models depend most on epidemiological parameters.

• Monte Carlo spreading models depend most on network parameters.

• Model error depends on network efficiency and size.

摘要

•Dimension parameter improves fitting and prediction of real network properties.•Continuous state spreading models depend most on epidemiological parameters.•Monte Carlo spreading models depend most on network parameters.•Model error depends on network efficiency and size.

论文关键词：Network dimension,Small world model,Model error,Spreading dynamics,Epidemic spreading

论文评审过程：Received 9 November 2021, Revised 26 December 2021, Accepted 29 December 2021, Available online 15 January 2022, Version of Record 15 January 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126911