Fig. 3.

Impact of different vaccination strategies on the spreading of the infection using two different network models, the Erdős-Rényi graph (A) and the Duplication Divergence generative model (B). At the simulated time $t=2$, both a random vaccination (green) and a degree-based vaccination (orange) strategies were applied, removing 100 random nodes and the 100 top-degree nodes, respectively. As a control, the spreading of the infection without any vaccination was simulated (in blue). We observed how removing the top-degree nodes from the graph results in a rapid decrease in infections compared to both control and random vaccination, especially in the Duplication Divergence Model network. At $t=14$, we can observe the rapid decrease of the three lines, with a large part of the infected population starting to recover.