Abstract

In this study, we investigate the role of the mesoscopic structural properties of a scale-free social network on the contagion spreading. We focus on both the exponent of power-law community size distribution function (b) and the mixing parameter (l). Findings show that increasing b reduces the rate of epidemic spreading. On the other hand, increasing l increases the rate of epidemic spreading. Two innovating parameters, Temperature and cos h, are introduced here to analyze these effects.