- Time
- 1:30 – 2:20pm, Tuesday, November 10, 2009
- Place
- CSE 305
- Speaker
- Satyen Kale, Yahoo! Research
## Abstract

We consider the problem of online sublinear expander reconstruction and
its relation to random walks in "noisy" expanders. Given access to an
adjacency list representation of a bounded-degree graph G, we want to convert
this graph into a bounded-degree expander G' changing G as little as
possible. The graph G' will be output by a distributed filter: this is
a sublinear time procedure that given a query vertex, outputs all its neighbors
in G', and can do so even in a distributed manner, ensuring consistency in
all the answers.

One of the main tools in our analysis is a result on the behavior of random
walks in graphs that are almost expanders: graphs that are formed by arbitrarily connecting a small unknown graph (the noise) to a large expander. We show that a random walk from almost any vertex in the expander part will have fast mixing properties, in the general setting of irreducible finite Markov chains. We also design sublinear time procedures to distinguish vertices of the expander part from those in the noise part, and use this procedure in the reconstruction
algorithm.

This is joint work with Yuval Peres and C. Seshadhri.