For our preliminary study, we tested our estimation algorithm on a small social network with N = 1,000 nodes, average degree ,k. = 3, and clustering coefficient c = 0.43 (random network with the same N and ,k. would have clustering coefficient c* < ,k./ N = 0.003). Besides allowing shorter simulations on a desktop computer, this smaller network has the advantage that the entire network, together with the simulated epidemics, can be easily visualized (see Videos S1 and S2).