Network anomalies can for for example be spammers in communication networks, intruders in physical network systems or bots on social media. Master student Thomas Helling developed a new algorithm for finding such spammers, taking the awareness of nodes with respect to the community structure of the network, into account. Thomas presented this work at Complex Networks 2018 in Cambridge. Find the paper here:

• T.J. Helling, J. Scholtes and F.W. Takes, A community-aware approach for identifying node anomalies in complex networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 244-255, Springer, 2018.