Suppressing disease spreading by using information diffusion on multiplex networks
Date
2016-07-06
Authors
Wang, Wei
Liu, Quan-Hui
Cai, Shi-Min
Tang, Ming
Braunstein, Lidia A.
Stanley, Harry Eugene
Version
Published version
OA Version
Citation
Wei Wang, Quan-Hui Liu, Shi-Min Cai, Ming Tang, Lidia A Braunstein, H Eugene Stanley. 2016. "Suppressing disease spreading by using information diffusion on multiplex networks." SCIENTIFIC REPORTS, Volume 6, 14 pp. https://doi.org/10.1038/srep29259
Abstract
Although there is always an interplay between the dynamics of information diffusion and disease spreading, the empirical research on the systemic coevolution mechanisms connecting these two spreading dynamics is still lacking. Here we investigate the coevolution mechanisms and dynamics between information and disease spreading by utilizing real data and a proposed spreading model on multiplex network. Our empirical analysis finds asymmetrical interactions between the information and disease spreading dynamics. Our results obtained from both the theoretical framework and extensive stochastic numerical simulations suggest that an information outbreak can be triggered in a communication network by its own spreading dynamics or by a disease outbreak on a contact network, but that the disease threshold is not affected by information spreading. Our key finding is that there is an optimal information transmission rate that markedly suppresses the disease spreading. We find that the time evolution of the dynamics in the proposed model qualitatively agrees with the real-world spreading processes at the optimal information transmission rate.
Description
License
Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.