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arXiv · 1705.09927

Fully distributed PageRank computation with exponential convergence

Liang Dai·Nikolaos M. Freris
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Abstract

This work studies a fully distributed algorithm for computing the PageRank vector, which is inspired by the Matching Pursuit and features: 1) a fully distributed implementation 2) convergence in expectation with exponential rate 3) low storage requirement (two scalar values per page). Illustrative experiments are conducted to verify the findings.

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Liang Dai, Nikolaos M. Freris. 2017-05-28. Fully distributed PageRank computation with exponential convergence. https://arxiv.org/abs/1705.09927

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