On the complexity of the Monte Carlo method for incremental PageRank

This note extends the analysis of incremental PageRank in Bahmani et al. (2010) [1]. In that work, the authors prove a running time of O(nR/epsilon In-2(m)) to keep PageRank updated over m edge arrivals in a graph with n nodes when the algorithm stores R random walks per node and the PageRank teleport probability is epsilon. To prove this running time, they assume that edges arrive in a random order, and leave it to future work to extend their running time guarantees to adversarial edge arrival. In this note, we show that the random edge order assumption is necessary by exhibiting a graph and adversarial edge arrival order in which the running time is Omega(Rnm(lg3/2 (1-epsilon)). More generally, for any integer d >= 2, we construct a graph and adversarial edge order in which the running time is Omega(Rnm(logd(Hd(1-epsilon)))), where H-d is the dth harmonic number. (C) 2013 Elsevier B.V. All rights reserved.