Take a network apart, one week at a time

Eight course weeks. Four on network structure, four on language.

We are three students taking DTU’s Social Graphs and Interactions. Each week the course teaches a new way to read a network: degree distributions, null models, centrality and communities, then natural language processing. We take that week’s method, point it at one question about real data, and publish the answer as an interactive post. You try the method yourself, see what it shows, and open the evidence and our code when you want more. No background in network science needed.