AnomRank is an online algorithm for anomaly detection in dynamic graphs. AnomRank uses a two-pronged approach defining two novel metrics for anomalousness. Each metric tracks the derivatives of its own version of a ‘node score’ (or node importance) function. This allows us to detect sudden changes in the importance of any node.
Details of AnomRank can be found in our original paper (https://minjiyoon.xyz/Paper/ANRank.pdf)