Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread
Fig 5
Infection model and ABM characterization.
(A) The AUC-ROC curves for the infection model across the training set and set of hold-out test sets from different time periods that occurred after all recorded training set events. Slight overfitting between the training and test sets is observed; however, performance across test sets appears roughly consistent, suggesting Period I and II user behavior encoded during the training process is indicative of forward-looking information sharing behavior for multiple months. (B) The number of infections across infection layers for a set of ABM trials for a sample source post. The grey lines represent traces obtained from each of the 1000 trials. The blue bands denote the 68% percentile bands across these trials, with the red dashed line representing the median number of infections at each infection layer across all trials.