id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-019114-934xczf3	Zhan, Xiu-Xiu	Epidemic dynamics on information-driven adaptive networks	2018-02-16		.txt	text/plain	4851	279	48	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. By depicting preventive measures as the reduction of transmitting probability [20, 21] or particular states of individuals (immune or vaccination) [22] , previous models showed that the disease information diffusion indeed inhibits the epidemic spreading significantly (reduce the epidemic prevalence as well as enhance the epidemic threshold) [15, 23] . In this work, we consider a more complicated case that two dynamical processes (i.e., epidemic spreading and disease information diffusion) are spreading on adaptive networks. Both numerical analyses based on the pairwise approach and simulation results indicate that the information diffusion and the adaptive behavior of the nodes can inhibit the epidemic outbreak significantly.	./cache/cord-019114-934xczf3.txt	./txt/cord-019114-934xczf3.txt