Figure 3
From: Identify hidden spreaders of pandemic over contact tracing networks
Screening Performance Assessment. We measure the performance of the dynamic screening method on the ISA network compared with other machine-learning baselines (see details in Sect. SI 3). (a) The accuracy vs. rank of infection (divided by the network size). The accuracy is defined as the proportion of non-Susceptible individuals in the ranking list. Since all nodes we screen at T do not have symptoms, here we use the value of \(C_i(t)-I_i(t)\) to rank these nodes. (b) Similar to (a), the relative accuracy of the machine-learning-based algorithms, which is the ratio between the accuracy of our proposed algorithm and other algorithms. (c) The relationship between the rank of infection and the recall rate (i.e., the proportion of successfully identified non-Susceptible individuals to those in the whole network. (d) Similar to (c), the relative recall rate of the machine-learning-based algorithms. (inset) Recall rate of the static algorithms on the 1-step neighbor subnetwork and on the whole network (see SI Figs. 12–15), compared with the dynamic algorithm.
