The Extrapolation-Accelerated Multilevel Aggregation Method in PageRank Computation
Bing-Yuan Pu, Ting‐Zhu Huang, Chun Xue Wen, Yiqin Lin
Abstract
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Bing-Yuan Pu, Ting‐Zhu Huang, Chun Xue Wen, Yiqin Lin
Abstract
Open-access reader
An accelerated multilevel aggregation method is presented for calculating the stationary probability vector of an irreducible stochastic matrix in PageRank computation, where the vector extrapolation method is its accelerator. We show how to periodically combine the extrapolation method together with the multilevel aggregation method on the finest level for speeding up the PageRank computation. Detailed numerical results are given to illustrate the behavior of this method, and comparisons with the typical methods are also made.
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An accelerated multilevel aggregation method is presented for calculating the stationary probability vector of an irreducible stochastic matrix in PageRank computation, where the vector extrapolation method is its accelerator. We show how to periodically combine the extrapolation method together with the multilevel aggregation method on the finest level for speeding up the PageRank computation. Detailed numerical results are given to illustrate the behavior of this method, and comparisons with the typical methods are also made.
Key concepts: Extrapolation, PageRank, Computation, Computer science, Matrix (chemical analysis), Algorithm, Statistical physics, Applied mathematics