INSIGHT Centre for Data Analytics creates a healthier, safer, more productive world by empowering a data-driven society to enable better decisions by individuals, communities, business and governments. Insight brings together leading Irish academics from 5 of Ireland's leading research centres (DERI, CLARITY, CLIQUE, 4C, TRIL), previously established by Science Foundation Ireland (SFI) and the Irish Industrial Development Authority (IDA), in key areas of priority research including: The Semantic Web, Sensors and the Sensor Web, Social network analysis, Decision Support and Optimization, and Connected Health.

Real-world social networks from a variety of domains can naturally be modeled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Therefore, researchers have begun to consider the problem of tracking the evolution of groups of users in dynamic scenarios. Here we describe a model for tracking communities which persist over time in dynamic networks, where each community is characterized by a series of significant evolutionary events. This model is used to motivate a scalable community-tracking strategy for efficiently identifying dynamic communities.