Author: Zhang, Hai-Feng; Yang, Zimo; Wu, Zhi-Xi; Wang, Bing-Hong; Zhou, Tao
Title: Braess's Paradox in Epidemic Game: Better Condition Results in Less Payoff Document date: 2013_11_21
ID: kex0dq57_18
Snippet: Analysis on well-mixed network. It is beyond our ability to provide a thorough theoretical analysis on the dynamics of the system for (i) the stochastic and nonlinear effects in Eq. (1), (ii) the multiple choices of individuals enclosed in the model, and (iii) the different time scales (in a sequential order) of the epidemic dynamics and the decision makings of individuals. Instead, an approximation analysis based on the mean-field theory and num.....
Document: Analysis on well-mixed network. It is beyond our ability to provide a thorough theoretical analysis on the dynamics of the system for (i) the stochastic and nonlinear effects in Eq. (1), (ii) the multiple choices of individuals enclosed in the model, and (iii) the different time scales (in a sequential order) of the epidemic dynamics and the decision makings of individuals. Instead, an approximation analysis based on the mean-field theory and numerical integral method for wellmixed networks is given to quantitatively cross-check the observations reported in the simulation results. Given a well-mixed network with size N, the dynamical equations are
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