Impact of context on social influence

Influence and information propagation is an important field in social network analysis. Propagation models are main tools in predicting propagation behaviour. Classic propagation models Linear Threshold, Independent Cascade and their extension are based on network structure and actions of users in time. We propose to use network context to improve propagation prediction. Experiments from real datasets supports the idea.