further information will be announced as soon as possible

Lecture I:
Refresher of Statistical learning: prediction, inference and regression

Lecture II:
Refresher of Graph theory: diameter, dominance, cover

Lecture III:
Refresher of Statistical learning: supervised and unsupervised

Lecture IV:
Survey of the literature on Social Network Analysis: small data

Lecture V:
Random graphs: properties and  models of social networks

Lecture VI:
Survey of the literature on Social Network Analysis: big data

Lecture VII:
Centrality measures

Lecture VIII:
Survey of graph management tools: networkx and iGraph

Lecture IX:
Community detection

Lecture X:
Survey of graph management tools: Pajek and HyperBall

This is a visiting professor course of the Vienna PhD School of Informatics.

It will be held by Alessandro Provetti / Birkbeck, University of London.

Students attending this course should please bring a notebook to the course (required for the exercise parts).

Please register in TISS.