Awarded VEIV EngD
Interaction networks are made up of nodes, representing people, and links representing observed interactions between them. Within such networks community structures have been observed where nodes are more densely connected within communities than across communities. People tend to interact more frequently with similar people and so people within communities will share common attributes or purposes. My research is on the analysis of interaction network communities. In particular I am interested in investigating the detection of communities, discovering of roles within communities and community evolution.