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Traffic-driven epidemic spreading in multiplex networks.

Jie Chen1, Mao-Bin Hu1, Ming Li1

  • 1School of Engineering Science, University of Science and Technology of China, Hefei 230026, People's Republic of China.

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Multiplex networks, with multiple interacting layers, can surprisingly suppress epidemic outbreaks. A densely connected layer attracts traffic, preventing disease spread across the entire network, thus increasing the epidemic threshold.

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Area of Science:

  • Network Science
  • Epidemiology
  • Complex Systems

Background:

  • Multiplex networks model systems with multiple layers of interaction.
  • Understanding epidemic spread in complex networks is crucial for public health.
  • Traffic dynamics significantly influence disease propagation.

Purpose of the Study:

  • To investigate how multiplex network structures affect epidemic spreading dynamics.
  • To determine if multiplexity can suppress or enhance epidemic outbreaks.
  • To derive analytical expressions for epidemic thresholds in multiplex networks.

Main Methods:

  • Utilizing a mean-field approximation for mathematical modeling.
  • Analyzing epidemic spread driven by traffic dynamics in multilayer networks.
  • Calculating epidemic thresholds and suppression onset conditions.

Main Results:

  • Multiplex structures can suppress epidemic outbreaks, contrary to some expectations.
  • A densely connected layer can attract traffic flow, mitigating spread in other layers.
  • The epidemic threshold in multiplex networks can be higher than in isolated layers.

Conclusions:

  • Multiplex network architecture plays a critical role in modulating epidemic propagation.
  • Strategic network design, leveraging dense layers, can enhance epidemic control.
  • The findings offer insights into managing infectious disease spread in interconnected systems.