We started by estimating an infection network (N = 10,000, ,k. = 10, and a total of 50,126 links) using incidence data from 100 SIR epidemics and 50% censor rate. The estimated network has a total of 2,561 nodes and 6,467 estimated links. 1,074 of these estimated links are correct (16.6% accuracy). Next, we applied EGP to this estimated network (not to the actual infection network) and obtained a set of 864 nodes that will efficiently fragment the estimated network. We then immunized these 864 nodes on the actual infection network to test how well this will mitigate subsequent epidemics. To obtain a non-targeted intervention benchmark for comparison, we also randomly removed 864 nodes in the actual infection network. We then ran 100 SIR epidemics each on the two immunized networks and plot the average incidence rate as a function of time, as shown in Figure 5a .