The list of lectures' topics is as follows (click on the links for the pdf slides):
Stefano Battiston: Financial networks (Lecture 1, Lecture 2)
Francesco Bonchi: Data mining (Slides)
Guido Caldarelli: Complex networks: Theory and applications. Trees and river networks, Foodwebs, Economic networks (I, II, III, IV), see also http://guidocaldarelli.com/index.php/lectures
Vittoria Colizza: Epidemics and networks (Lectures 1&2, Lecture 3)
Paolo De Los Rios: Biological networks (Slides)
Santo Fortunato: Community detection in networks (I, II)
Bruno Gonçalves: Social networks (Lecture 1, Lecture 2, Lecture 3). See also this webpage for references
Eric Kolaczyk: Statistical analysis of network data (Lecture 1, Lecture 2, Lecture 3, Lecture 4)
Yamir Moreno: Non-linear dynamics in complex networks (Lecture 1, Lecture 2, Lecture 3, Lecture 4)
Esteban Moro: Temporal Dynamics of human behavior in social networks (Lecture 1, Lecture 2). See also http://bit.ly/LesHouches for references.
Andre Panisson: introduction to python tools and machine learning (Machine learning, Network analysis tools)
Jari Saramäki: Introduction to temporal networks (Lecture 1, Lecture 2)
Stefano Battiston: Financial networks (Lecture 1, Lecture 2)
Francesco Bonchi: Data mining (Slides)
Guido Caldarelli: Complex networks: Theory and applications. Trees and river networks, Foodwebs, Economic networks (I, II, III, IV), see also http://guidocaldarelli.com/index.php/lectures
Vittoria Colizza: Epidemics and networks (Lectures 1&2, Lecture 3)
Paolo De Los Rios: Biological networks (Slides)
Santo Fortunato: Community detection in networks (I, II)
Bruno Gonçalves: Social networks (Lecture 1, Lecture 2, Lecture 3). See also this webpage for references
Eric Kolaczyk: Statistical analysis of network data (Lecture 1, Lecture 2, Lecture 3, Lecture 4)
Yamir Moreno: Non-linear dynamics in complex networks (Lecture 1, Lecture 2, Lecture 3, Lecture 4)
Esteban Moro: Temporal Dynamics of human behavior in social networks (Lecture 1, Lecture 2). See also http://bit.ly/LesHouches for references.
Andre Panisson: introduction to python tools and machine learning (Machine learning, Network analysis tools)
Jari Saramäki: Introduction to temporal networks (Lecture 1, Lecture 2)