Traffic-driven epidemic spreading on scale-free networks with tunable degree distribution

Abstract

We study the traffic-driven epidemic spreading on scale-free networks with tunable degree distribution. The heterogeneity of networks is controlled by the exponent ${\hat{I}}^3$ of power-law degree distribution. It is found that the epidemic threshold is minimized at about ${\hat{I}}^3=2.2$. Moreover, we find that nodes with larger algorithmic betweenness are more likely to be infected. We expect our work to provide new insights into the effect of network structures on traffic-driven epidemic spreading.

8 pages, 5 figures. arXiv admin note: text overlap with arXiv:1503.00145, arXiv:1503.00149