Figure 9

Strength of correlation (measured by${\mathit{R}}^{\mathbf{2}}$) between prevalence and static network measures as a function of the time when a patient tests positive. For this plot, we start from scatter plots between centrality measures and prevalence - like the ones in Figure 6 - and make a linear regression on these to calculate $R^2$, but we restrict the data to periods between the time the patient tests positive and Δt.