Novel epidemic models on PSO-based networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)36-43
Journal / PublicationJournal of Theoretical Biology
Volume477
Online published10 Jun 2019
Publication statusPublished - 21 Sep 2019

Abstract

This paper proposes two spatio-temporal epidemic network models based on popularity and similarity optimization (PSO), called r-SI and r-SIS, respectively, in which new connections take both popularity and similarity into account. In the spatial dimension, the epidemic process is described by the diffusion equation; in the time dimension, the growth of an epidemic is described by the logistic map. Both models are represented by partial differential equations, and can be easily solved. Simulations are performed on both artificial and real networks, demonstrating the effectiveness of the two models.

Research Area(s)

  • Epidemic dynamics, Hyperbolic space, Popularity, Similarity

Citation Format(s)

Novel epidemic models on PSO-based networks. / Fan, Dongmei; Jiang, Guo-Ping; Song, Yu-Rong; Li, Yin-Wei; Chen, Guanrong.

In: Journal of Theoretical Biology, Vol. 477, 21.09.2019, p. 36-43.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review