Computing the PageRank Variation for Fragile Web Data
Author:
Affiliation:
1. Department of Computational Intelligence & Systems Science, Tokyo Institute of Technology
2. IEIIT-CNR, Politecnico di Torino
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.9746/jcmsi.2.1
Reference20 articles.
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3. [3] A.N. Langville and C.D. Meyer: Google's PageRank and Beyond: The Science of Search Engine Rankings, Princeton University Press, 2006.
4. [4] K. Avrachenkov, N. Litvak, D. Nemirovsky, and N. Osipova: Monte Carlo methods in PageRank computation: When one iteration is sufficient, SIAM J. Numer. Anal., Vol. 45, pp. 890-904, 2007.
5. [5] D.V. de Jager and J.T. Bradley: Asynchronous iterative solution for state-based performance metrics, Proc. ACM SIGMETRICS, pp. 373-374, 2007.
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