IFIMAR   20926
INSTITUTO DE INVESTIGACIONES FISICAS DE MAR DEL PLATA
Unidad Ejecutora - UE
artículos
Título:
Suppressing disease spreading by using information diffusion on multiplex networks
Autor/es:
SHI-MIN CAI; H. E STANLEY; QUAN-HUI LIU; LIDIA A. BRAUNSTEIN; WEI WANG ; MING TANG
Revista:
Scientific Report
Editorial:
Nature Publishing
Referencias:
Año: 2016
Resumen:
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 isstill 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 outbreakon 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 spreadingprocesses at the optimal information transmission rate.
rds']