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arXiv · 1501.06350

D-Iteration: diffusion approach for solving PageRank

Dohy Hong·The Dang Huynh·Fabien Mathieu
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Abstract

In this paper we present a new method that can accelerate the computation of the PageRank importance vector. Our method, called D-Iteration (DI), is based on the decomposition of the matrix-vector product that can be seen as a fluid diffusion model and is potentially adapted to asynchronous implementation. We give theoretical results about the convergence of our algorithm and we show through experimentations on a real Web graph that DI can improve the computation efficiency compared to other classical algorithm like Power Iteration, Gauss-Seidel or OPIC.

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Dohy Hong, The Dang Huynh, Fabien Mathieu. 2015-05-06. D-Iteration: diffusion approach for solving PageRank. https://arxiv.org/abs/1501.06350

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