Recovering communities in a network.

In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications led to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.