The results shown in Panes C and D of Figure 2 provide a guide to intuition to explain these results. Clustering increases the number of ½I{I pairs present at a given endemic state, and contact tracing can be viewed as hyper-parasitism on the network of infected individuals. This means that clustering can be expected to enhance the efficacy of contact tracing by increasing the neighbourhood size of the infected sub-network. On the other hand, to explain a constant level of endemic infection as clustering is increased, a larger underlying rate of transmission must be present, which will undermine tracing as an individual left untouched by a wave of tracing will reinfect their immediate neighbourhood more quickly. Exactly which parameter choices allow either effect to dominate is not clear, except that lower levels of tracing success always cause clustering to increase the efficacy of tracing. Otherwise, it appears that the impact of clustering on contact tracing needs to be evaluated on a case-bycase basis.