In this course we will examine models of network formation and as well as how network structure affects individual behavior, and discuss the use of such models in analyzing data. We will begin with an overview of some random graph and game theoretic models of social network formation and how such models can be used to understand observed network phenomena.
We will then discuss some issues surrounding the statistical estimation of network models. We will close with a look at the implications of network structure for contagion and diffusion and the fitting of models of diffusion to data.
Programme:
9.30am – Registration
10.00am – Session 1
11.15am – Break
11.40am – Session 2
1.10pm – Lunch
2.10pm – Session 3
3.40pm – Break
4.00pm – Session 4
5.15pm – Finish