ANORA : Anomalous regime detection in dynamic networks

This project proposes to design metrics, methods, and scalable algorithms for detecting anomalies in dynamic networks. The temporal evolution of the structure of dynamic networks carries critical information about the development of complex systems in various applications, from biology to social networks. Deviations from regular network structure evolution may also provide critical information about anomalies or events of different forms.