Teaching

In fall 2009 I am teaching CS 322: (Social and Information) Network Analysis, a graduate course on analysis, models and algorithms for large social networks.

Tutorials

I gave a number of tutorials and overfiew talks about the structure, models and algorithms for large social and information networks, and diffusion of information and viruses in them. Below are videos and slides of some of them.

Below are links to the videos of the talks and slides.

Dynamics of Large Networks CMU Machine Learning Department thesis defense talk, 2008. More than 5,500 views on Videolectures!
Modeling Social and Information Networks: Opportunities for Machine Learning Tutorial at ICML, 2009.
Tools for large graph mining: structure and diffusion Tutorial at WWW, 2008. Tutorial has 4 parts: Statistical properties and models, Diffusion and cascading behavior, Matrix tools for large graphs, and Case studies.
Mining Large Graphs: Models, Diffusion and Case Studies Tutorial at ECML/PKDD, 2007. Tutorial has 3 parts: statistical properties and models of networks, diffusion and cascading behavior, case studies More than 2,500 views on Videolectures!
Diffusion and Cascading Behavior in Social Networks Tutorial at NATO Advanced Study Institute on Mining Massive Data Sets for Security, 2007.