Anomalous epidemic spreading in heterogeneous networks

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Abstract
Epidemic spreading in heterogeneous networks has attracted great interest in recent years. To capture the significant effect of residence of individuals on epidemic spreading, we consider herein a simple susceptible-infected-susceptible model with random waiting time in heterogeneous networks. We provide the analytical dynamical expressions for the time evolution for infected individuals and find a fractional memory effect of power-law waiting time on anomalous epidemic spreading. This work provides new quantitative insights in describing contagion processes and could help model other spreading phenomena in social and technological networks.
Funding Information
  • Chengdu University of Technology (PLC2020025)
  • National Natural Science Foundation of China (11626047)
  • Open Fund of Geomathematics Key Laboratory of Sichuan Province (scsxdz2018yb05)

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