Modeling social network restructuring
Generating models of social networks could improve the understanding of many processes on such networks (e.g. opinion formation, information spreading, disease spreading). Moreover, the mechanism of generating them itself can give insights into which processes are at work behind the scenes. Building on existing models of social network growth and restructuring we offer BA/MA thesis topics exploring
- Node-based reformulation of a social network rewiring model for easier interpretability
- Studying the effects of altered preferential attachment rules ranging from nonlinear functions of the node degree to random walk distances.
- Analyze real social networks and find out why offline networks tend to be close to the critical transition while online networks are widely distributed in the supercritical regime.
