Simulated dynamics of virus spreading on social networks with various topologies

Kun Li, Zhiyu Chen, Rui Cong, Jianlei Zhang and Zhenlin Wei

Applied Mathematics and Computation, 2024, vol. 470, issue C

Abstract: How to effectively control virus spreading remains an open challenging problem since the environments for virus propagation are complex and heterogeneous, and more importantly, the dynamics of virus spreading usually co-evolves with that of human beings' travelling behavior. Motivated by this, we combine evolutionary game theory and complex network theory to investigate the influence of the competition between different travelling strategies on virus propagation. Simulation results show that the strategy of self-isolation can substantially inhibit the spread of infectious diseases on complex social networks, and introducing rewarding mechanism would further enhance this effect. Moreover, counterintuitively, larger network degree is conducive to the prevalence of self-isolation, thereby hindering virus spreading. We hope our work can provide more insight into the effective control of virus propagation in the real world.

Keywords: evolutionary game; rewarding mechanism; social networks; epidemic spreading; isolation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300324000523
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:470:y:2024:i:c:s0096300324000523

DOI: 10.1016/j.amc.2024.128580

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().