Many approaches have recently been proposed to model the spread of epidemics on
networks. For instance, the Susceptible/Infected/Recovered (SIR) compartmental model has
successfully been applied to different types of diseases that spread out among humans and
animals. When this model is applied on a contact network, the centrality characteristics of the
network plays an important role in the spreading process. However, current approaches only
consider an aggregate representation of the network structure, which can result in …