Effect of individual behavior on the interplay between awareness and disease spreading in multiplex networks

In this paper, we studied the two interacting processes of information awareness and disease spreading on the same individual who has different behavior status on multiplex networks. We achieved this topology scenario by two factors, one is information awareness that can change interplay between different layers of networks, and the other is behavior nodes that can change their own interaction patterns in each layer. According to the mean-field theory, we analyzed the dynamic evolution of the system and derived the epidemic thresholds on uncorrelated heterogeneous networks. Finally, we validated the theoretical analysis by numerical simulations on scale-free networks and discussed the final size of epidemic spreading under the different conditions. Our results indicate the essential relationship between information awareness and individual behavior influence on the epidemic spreading. •A multiplex networks model of interacting processes between awareness and disease spreading with individual behavior is proposed.•Epidemic thresholds on degree uncorrelated heterogeneous multiplex networks are obtained.•Relationship between information awareness and individual behavior influence on the epidemic spreading is obtained.•Increasing information individual or decreasing behavior rate can slow down the spreading of disease.