Professor Renaud Lambiotte
Professor of Networks and Nonlinear Systems, Mathematical Institute, University of Oxford
Networks are an important data representation vehicle. There is a long tradition in social sciences concerning social network analysis, but over the last 20 years alternative network analysis methods have been developed under a complex systems approach. The course merges these two approaches and will enable the students to provide a statistical analysis of social data which come in the form of networks.
Data-driven Network Science will introduce the students to network summaries and network models. Then different methods for analysing network data will be presented; these include likelihood-based methods as well as nonparametric methods.
At the end of this course students will…