TotalRank: ranking without damping

@inproceedings{Boldi2005TotalRankRW,
  title={TotalRank: ranking without damping},
  author={Paolo Boldi},
  booktitle={WWW},
  year={2005}
}
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor α that spreads part of the rank. The choice of α is eminently empirical, but most applications use α = 0.85; nonetheless, the selection of α is critical, and some believe that link farms may use this choice adversarially. Recent results [1] prove that the PageRank of a page is a rational function of α, and that this function can be approximated quite… CONTINUE READING

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