The list of lectures' topics is as follows (click on the links for the pdf slides):

Stefano Battiston: Financial networks

Francesco Bonchi: Data mining

Guido Caldarelli: Complex networks: Theory and applications. Trees and river networks, Foodwebs, Economic networks (

Vittoria Colizza: Epidemics and networks (

Paolo De Los Rios: Biological networks (

Santo Fortunato: Community detection in networks

Bruno Gonçalves: Social networks (

Eric Kolaczyk: Statistical analysis of network data

Yamir Moreno: Non-linear dynamics in complex networks (

Esteban Moro: Temporal Dynamics of human behavior in social networks

Andre Panisson: introduction to python tools and machine learning (

Jari Saramäki: Introduction to temporal networks

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/lecturesVittoria 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 referencesEric 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)**