document: TruRank : taking PageRank to the limit PageRank is defined as the stationary state of a Markov chain depending on a damping factor α that spreads uniformly part of the rank . The choice of α is eminently empirical , and in most cases the original suggestion α = 0.85 by Brin and Page is still used . It is common belief that values of α closer to 1 give a `` truer to the web '' PageRank , but a small α accelerates convergence . Recently , however , it has been shown that when α = 1 all pages in the core component are very likely to have rank 0 ( 1 ) . This behavior makes it difficult to understand PageRank when α ≈ 1 , as it converges to a meaningless value for most pages . We propose a simple and natural modification to the standard preprocessing performed on the adjacency matrix of the graph , resulting in a ranking scheme we call TruRank . TruRank ranks the web with principles almost identical to PageRank , but it gives meaningful values also when α ☰ 1 .
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