Fig. 2

Community detection and anomaly detection in synthetic networks. a Cosine similarity (CS) between ground truth and inferred communities and b the F1 score between the ground truth and the inferred anomalies. The model’s ability to detect anomalous edges increases with increasing the ratio of anomalous edges in the network. Synthetic networks with \(N = 500\) nodes, \(\pi =0.6\), and \(K = 3\) communities of equal-size unmixed group membership generated with ACD. Lines and shades around them are averages and standard deviations over 20 sampled networks