On computing PageRank via lumping the Google matrix
DOI10.1016/j.cam.2008.06.003zbMath1167.68367OpenAlexW2039746387MaRDI QIDQ1002214
Yi-Min Wei, Xinghua Shi, Yi-Qin Lin
Publication date: 25 February 2009
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2008.06.003
Computational methods for sparse matrices (65F50) Searching and sorting (68P10) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Network design and communication in computer systems (68M10) Iterative numerical methods for linear systems (65F10) Acceleration of convergence in numerical analysis (65B99)
Related Items (20)
Uses Software
Cites Work
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- An Arnoldi-type algorithm for computing Page Rank
- Eigenvalues and Jordan canonical form of a successively rank-one updated complex matrix with applications to Google's PageRank problem
- Adaptive methods for the computation of PageRank
- Extrapolation methods for PageRank computations
- A Power–Arnoldi algorithm for computing PageRank
- PageRank Computation, with Special Attention to Dangling Nodes
- Comments on "Jordan Canonical Form of the Google Matrix"
- Deeper Inside PageRank
- A Reordering for the PageRank Problem
- Jordan Canonical Form of the Google Matrix: A Potential Contribution to the PageRank Computation
- Convergence Analysis of a PageRank Updating Algorithm by Langville and Meyer
- A Survey on PageRank Computing
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