منابع مشابه
Parallelization techniques for accelerating PageRank computation
PageRank is a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. Let G = [gij ]i,j=1 be a Web graph adjacency matrix with elements gij = 1 when there is a link from page j to page i, with i 6= j, and zero otherwise. From this matrix we can construct a transition matrix P = [pij ] n i,j=1 as follows: pij = gij cj...
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PageRank algorithm is one of the most commonly used algorithms that determine the global importance of web pages. Due to the size of web graph which contains billions of nodes, computing a PageRank vector is very computational intensive and it may takes any time between months to hours depending on the efficiency of the algorithm. This promoted many researchers to propose techniques to enhance ...
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Over the last decade, PageRank has gained importance in a wide range of applications and domains, ever since it first proved to be effective in determining node importance in large graphs (and was a pioneering idea behind Google’s search engine). In distributed computing alone, PageRank vectors, or more generally random walk based quantities have been used for several different applications ran...
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ژورنال
عنوان ژورنال: Internet Mathematics
سال: 2009
ISSN: 1542-7951,1944-9488
DOI: 10.1080/15427951.2009.10129182