A recent important advancement in the field is the application of network theory to study epidemic dynamics. Network-based models have been shown able to accurately explain complex phenomena in terms of the relatively-simple interactions between its small constituents, and are therefore broadly applicable to various different fields [7] . In the area of infectious diseases, numerous studies have been done on modeling epidemic using a network approach -mainly covering sexually-transmitted infections [8] [9] [10] [11] , respiratory and flu-like diseases [2] , and general features of infectious disease dynamics [12] [13] [14] [15] [16] [17] .