Novel epidemic models on PSO-based networks
Related Research Unit(s)
|Journal / Publication||Journal of Theoretical Biology|
|Online published||10 Jun 2019|
|Publication status||Published - 21 Sep 2019|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-85067210118&origin=recordpage|
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.
- Epidemic dynamics, Hyperbolic space, Popularity, Similarity
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 journal › peer-review