Fig. 8: The evolution of infected nodes in the SIRS model.
The evolution of infected nodes was obtained by adding two external shocks to our model (upper), roughly consistent with the scaled retweets of scientific research on COVID-19 on Twitter (represented by blue diamond dots). The evolution of the proportion of infected nodes in 10 subgroups to the overall population varies (bottom). These two external shocks include a negative event and a positive event, with an intensity Ie of 0.5 and 0.8, and occur during 15 to 20 time steps and 35 to 50 time steps, respectively. We set the base disease spreading rate βb = 0.2, the base recovering rate μb = 0.5, and the re-susceptible rate γ = 0.15. The color band shows the 1σ confidence interval of our prediction.
