Community detection with the non-backtracking operator

Monday, October 6, 2014 -
4:30pm to 5:30pm
Community detection consists in identification of groups of similar items within a population. In the context of online social networks, it is a useful primitive for recommending either contacts or news items to users. We will consider a particular generative probabilistic model for the observations, namely the so-called stochastic block model and prove that the non-backtracking operator provides a significant improvement when used for spectral clustering.  joint work with C. Bordenave and L. Massoulie.
Marc LeLarge
ENS - France
Event Location: 
Fine Hall 214