ArticleJournal of parallel and distributed computing2018
Modeling and analysis of epidemic spreading on community networks with heterogeneity.
Article in Journal of parallel and distributed computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Effects of Community Connectivity on the Spreading Process of Epidemics.Entropy (Basel, Switzerland) · 2023Article
- Improving pandemic mitigation policies across communities through coupled dynamics of risk perception and infection.Proceedings. Biological sciences · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
A large number of real world networks exhibit community structure, and different communities may often possess heterogeneity. In this paper, considering the heterogeneity among communities, we construct a new community network model in which the communities show significant differences in average degree. Based on this heterogeneous community network, we propose a novel mathematical epidemic model for each community and study the epidemic dynamics in this network model. We find that the location of the initial infection node only affects the spreading velocity and barely influences the epidemic prevalence. And the epidemic threshold of entire network decreases with the increase of heterogeneity among communities. Moreover, the epidemic prevalence increases with the increase of heterogeneity around the epidemic threshold, while the converse situation holds when the infection rate is much greater than the epidemic threshold.
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Registered trials
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