Traffic-driven SI epidemic spreading on scale-free networks
International Journal of Modern Physics C
; 2022.
Article
in English
| Scopus | ID: covidwho-1731301
ABSTRACT
As COVID-19 spread globally in 2020, the interaction between the traffic dynamics and the spread of the epidemic has attracted much attention. However, controlling the spread of the epidemic remains a challenging issue. In this paper, we have investigated the relationships between link-closure strategies and the traffic-driven epidemic spreading. It is found that the epidemic spreading can be suppressed by the targeted closing of links between small-degree nodes. In contrast, closing links between large-degree nodes can accelerate the outbreak of the epidemic. These findings have significance for controlling the spread of the epidemic. © 2022 World Scientific Publishing Company.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
International Journal of Modern Physics C
Year:
2022
Document Type:
Article
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