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Network immunization and virus propagation in email networks: experimental evaluation and analysis
Chao Gao1,2, Jiming Liu1,3, Ning Zhong1,4
11International WIC Institute, Beijing University of Technology, 100124 Beijing, China.
Knowledge and Information Systems
|March 28, 2020
Summary
Network immunization strategies combat virus spread. The node-betweenness strategy is most effective for preventing virus propagation in email networks, considering network structure and human dynamics.
Area of Science:
- Computer Science
- Network Science
- Epidemiology
Background:
- Virus propagation in networks poses significant challenges.
- Existing models require enhancement to accurately reflect complex network dynamics.
Purpose of the Study:
- To improve an interactive model for virus spread in email networks.
- To analyze the impact of network topology, node degree, and betweenness on virus propagation.
- To identify effective network immunization strategies.
Main Methods:
- An existing interactive model was enhanced.
- Experiments were conducted on email networks with varying topologies.
- The influence of node degree and betweenness was investigated.
- Human dynamics were incorporated into the analysis.
Main Results:
- Virus spread occurs in two distinct phases.
- The node-betweenness strategy proved to be the most efficient immunization method.
- Network structure and human dynamics significantly affect virus propagation.
- Human dynamics explain the persistence of older viruses in networks.
Conclusions:
- The enhanced model provides a better characterization of virus spread.
- Node-betweenness immunization is a key strategy for network security.
- Understanding human dynamics is crucial for addressing persistent viral threats.
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