The study of complex networks is a useful tool for understanding how people interact with each other in society, community development, communication patterns, and even how information or diseases are spread throughout a population. This project explores different ways of creating methods to understand how communities are built with the bare minimum of information: who contacted who, and when?

The data was collected at the 2009 SFHH (Société Française d’Hygiène Hospitalière, or the French Haematology Society) conference in Nice, France. The dataset tracked human interactions using RFID sensors. The data was collected from over 400 participants and logged over 70,000 interactions in 20-second intervals. The ultimate goal of this work was to identify meaningful patterns within the community that could help identify clusters or groups of people to discover patterns of social groupings.