Modelling and analysis of the dynamics of adaptive temporal-causal network models for evolving social interactions.

In particular, the homophily principle and the 'more becomes more' principles for social interactions are addressed. It is shown how the chosen Network-Oriented Modelling method provides a basis to model and analyse these social phenomena.