Discovering Behavioural Features in Social Networks

This project will focus on establishing a theoretic framework for improving social media network representation stemming from transactional data. By making use of behavioural profiles that form the backdrop of many process, software verification, and sequence mining approaches, social networks will be established that capture more detailed information regarding the interactions of entities (nodes) in the network. The behavioural profiles capture sequence information, which is accounting for various types of back- and forward behaviour, and exhibit a natural hierarchy. Furthermore, they also capture information that is not occurring, i.e., negative information.