Arrigo, Francesca and Higham, Desmond J. and Noferini, Vanni (2018) Non-backtracking PageRank. [MIMS Preprint]
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Abstract
The PageRank algorithm, which has been ``bringing order to the web" for more than twenty years, computes the steady state of a classical random walk plus teleporting. Here we consider a variation of PageRank that uses a non-backtracking random walk. To do this, we first reformulate PageRank in terms of the associated line graph. A non-backtracking analog then emerges naturally. Comparing the resulting steady states, we find that, even for undirected graphs, non-backtracking generally leads to a different ranking of the nodes. We then focus on computational issues, deriving an explicit representation of the new algorithm that can exploit structure and sparsity in the underlying network. Finally, we assess effectiveness and efficiency of this approach on some real-world networks.
| Item Type: | MIMS Preprint |
|---|---|
| Subjects: | MSC 2010, the AMS's Mathematics Subject Classification > 05 Combinatorics MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis |
| Depositing User: | Dr V Noferini |
| Date Deposited: | 07 Oct 2018 07:47 |
| Last Modified: | 07 Oct 2018 07:47 |
| URI: | https://eprints.maths.manchester.ac.uk/id/eprint/2666 |
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