A community-aware approach for detecting network anomalies

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: