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Suppressing traffic-driven epidemic spreading by edge-removal strategies
Han-Xin Yang1, Zhi-Xi Wu, Bing-Hong Wang
1Department of Physics, Fuzhou University, Fuzhou 350108, China. hxyang01@gmail.com
Summary
Controlling epidemic outbreaks driven by traffic requires strategic network edge removal. Targeting links connected to high-degree nodes or those with high betweenness effectively enhances the epidemic threshold, preventing widespread infections.
Area of Science:
- Network science
- Epidemiology
- Complex systems
Background:
- The interaction between traffic flow and disease transmission in complex networks is a growing research area.
- Controlling epidemics influenced by traffic dynamics presents significant challenges.
Purpose of the Study:
- To propose and evaluate a method for suppressing traffic-driven epidemic outbreaks by removing network edges.
- To investigate the impact of targeted edge removal on epidemic thresholds and traffic load.
Main Methods:
- Simulating epidemic spreading on complex networks under various traffic conditions.
- Implementing targeted edge removal strategies, focusing on high-degree nodes and high-betweenness edges.
- Analyzing the effects of random edge removal for comparison.
Main Results:
- Targeted removal of edges connected to high-degree nodes or edges with high algorithmic betweenness significantly enhances the epidemic threshold.
- Random edge removal reduces the epidemic threshold.
- These results remain consistent across different traffic-flow conditions, network structures, and routing strategies.
- Shutdown of targeted edges effectively redistributes traffic load, reducing infection probability for critical nodes.
Conclusions:
- Strategic edge removal is a viable method for controlling traffic-driven epidemic spreading.
- Targeting specific network structures, like high-degree node connections, is crucial for enhancing epidemic thresholds.
- The findings offer insights into network management for mitigating infectious disease outbreaks in transportation systems.
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