Complex networks emerged as a new science field which focuses on the holistic view of complex systems to deliver new important results about the dynamics and the behavior about them. The field use different concepts from physics e.g. phase transitions, correlations to describe systems part of some other field, e.g. social science.

Recently in a Nature Communications volume 12, Article number: 1143 (2021) paper, the authors showed the correlation between income inequality and network fragmentation and city topology. The authors used the iWiW as social network and openstreetmap data for the road structure. The aim of this thesis will be to reproduce the basic correlations between social and city topology and if time allows extend it to new measures. The applicant will have the opportunity to learn to work with big data, build networks from different sources and learn mesoscopic and global measures to describe them.