English

Random Surfing Revisited: Generalizing PageRank's Teleportation Model

Social and Information Networks 2020-09-02 v2 Information Retrieval Machine Learning

Abstract

We revisit the Random Surfer model, focusing on its--often overlooked--Teleportation component, and we introduce NCDawareRank; a novel ranking framework designed to exploit network meta-information as well as aspects of its higher-order structural organization in a way that preserves the mathematical structure and the attractive computational characteristics of PageRank. A rigorous theoretical exploration of the proposed model reveals a wealth of mathematical properties that entail tangible benefits in terms of robustness, computability, as well as modeling flexibility and expressiveness. A set of experiments on real-work networks verify the theoretically predicted properties of NCDawareRank, and showcase its effectiveness as a network centrality measure.

Keywords

Cite

@article{arxiv.2008.12916,
  title  = {Random Surfing Revisited: Generalizing PageRank's Teleportation Model},
  author = {Athanasios N. Nikolakopoulos},
  journal= {arXiv preprint arXiv:2008.12916},
  year   = {2020}
}

Comments

34 pages, 11 figures; Preliminary versions of (part of) this work have been presented as an ACM WSDM conference paper (https://dl.acm.org/doi/10.1145/2433396.2433415), as well as in arXiv:1506.00092 (This article supersedes arXiv:1506.00092) v2: corrected numerical example

R2 v1 2026-06-23T18:10:40.195Z