  A new algebraic multilevel algorithm for computing the second eigenvector of
a column-stochastic matrix is presented. The method is based on a deflation
approach in a multilevel aggregation framework. In particular a square and
stretch approach, first introduced by Treister and Yavneh, is applied. The
method is shown to yield good convergence properties for typical example
problems.
