The power of local information in PageRank

  • Authors:
  • Marco Bressan;Enoch Peserico;Luca Pretto

  • Affiliations:
  • INRIA-CNRS, Gif-sur-Yvette, France;Università di Padova, Padova, Italy;Università di Padova, Padova, Italy

  • Venue:
  • Proceedings of the 22nd international conference on World Wide Web companion
  • Year:
  • 2013

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Abstract

Can one assess, by visiting only a small portion of a graph, if a given node has a significantly higher PageRank score than another? We show that the answer strongly depends on the interplay between the required correctness guarantees (is one willing to accept a small probability of error?) and the graph exploration model (can one only visit parents and children of already visited nodes?).