Graph Mining

The course will present the main properties of real graphs and some key algorithms for sampling, ranking, classifying, representing and clustering nodes.

You will also learn how real graphs are structured, with a focus on the scale-free and small-world properties.

You will also learn how to find the most important nodes in the graph, how to detect clusters of nodes and how to classify nodes or predict new links.

A large part of the course will be devoted to programming in Python where you will have to implement and test various algorithms for analysing real datasets.