Jiaqi (Jackie) Chen

Jiaqi (Jackie) Chen

PhD student at the University of Hong Kong

Modeling and Analysis of COVID-19 Spreading Dynamics Based on Complex Network Theory

Published in Europhysics Letters, 2023

📤 Submitted   Co-Author

Journal

Europhysics Letters    Impact Factor: 1.8    Rank #49 / 110 in Physics, Multidisciplinary

Abstract

This paper provides a systematic review and analysis of complex network theory applied to modeling the spreading dynamics of COVID-19. By leveraging graph-theoretic frameworks, the study characterizes how network topology—including degree distribution, clustering, and community structure—shapes epidemic trajectories and intervention efficacy.

Key Contributions

  • Comprehensive review of network-based mathematical models for COVID-19 epidemiology
  • Analysis of how network structural properties influence outbreak severity and spread
  • Comparative study of different network modeling paradigms for infectious disease

Technologies

Python   Mathematical Modeling (Network-based)   Graph Theory   Epidemic Simulation

Recommended citation: Gu, C., Chen, J., Ruan, Z., & Tang, M. (2023). "Modeling and Analysis of COVID-19 Spreading Dynamics Based on Complex Network Theory." Europhysics Letters (Submitted).