Mathematical analysis of social structures, discernible within data arising from online conversations, allows us to do many things. We can use such data to suggest if there are similarities or differences between various cities.
Are all cities the same? Should experience in social interventions be transferred from one city to another?
Mathematical concepts such as scaling laws allow us to predict and infer matters. Mathematical models such as walks around peer-to-peer networks allow us to identify key influencers.
This talk is a tour of ideas, analytics and applications that are relevant to modern businesses and institutions.
Professor Peter Grindrod CBE, Mathematical Institute, University of Oxford