Extrapolation methods for PageRank computations

The mathematical problem behind Web search is the computation of the nonnegative left eigenvector of a stochastic matrix P corresponding to the dominant eigenvalue 1. This vector is called the PageRank vector. Since the matrix P is ill-conditioned, the computation of PageRank is difficult and the matrix P is replaced by P(c) = cP + (1 - c)E, where E is a rank one matrix and c a parameter. The dominant left eigenvector of P(c) is denoted by PageRank (c). This vector can be computed for several values of c and then extrapolated at the point c = 1. In this Note, we construct special extrapolation methods for this problem. They are based on the mathematical analysis of the vector PageRank (c).