Epidemic dynamics on information-driven adaptive networks

Epidemic dynamics on information-driven adaptive networks

Zhan, X. (TU Delft Multimedia Computing; Hangzhou Normal University)
Liu, Chuang (Hangzhou Normal University)
Sun, Gui-Quan (Shanxi University)
Zhang, Zi-Ke (Hangzhou Normal University; Shanghai Jiao Tong University; Alibaba Research Institute)

2018

Research on the interplay between the dynamics on the network and the dynamics of the network has attracted much attention in recent years. In this work, we propose an information-driven adaptive model, where disease and disease information can evolve simultaneously. For the information-driven adaptive process, susceptible (infected) individuals who have abilities to recognize the disease would break the links of their infected (susceptible) neighbors to prevent the epidemic from further spreading. Simulation results and numerical analyses based on the pairwise approach indicate that the information-driven adaptive process can not only slow down the speed of epidemic spreading, but can also diminish the epidemic prevalence at the final state significantly. In addition, the disease spreading and information diffusion pattern on the lattice as well as on a real-world network give visual representations about how the disease is trapped into an isolated field with the information-driven adaptive process. Furthermore, we perform the local bifurcation analysis on four types of dynamical regions, including healthy, a continuous dynamic behavior, bistable and endemic, to understand the evolution of the observed dynamical behaviors. This work may shed some lights on understanding how information affects human activities on responding to epidemic spreading.

Adaptive model
Bifurcation analysis
Epidemic spreading
Information diffusion

http://resolver.tudelft.nl/uuid:467a0784-3d30-4f4c-939e-4e324c29f918

https://doi.org/10.1016/j.chaos.2018.02.010

2019-12-31

0960-0779

Chaos, Solitons & Fractals, 108, 196-204

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2018 X. Zhan, Chuang Liu, Gui-Quan Sun, Zi-Ke Zhang