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An Improved Approach to the PageRank Problems
Author(s) -
Yue Xie,
TingZhu Huang,
Chun Wen,
Dean Wu
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/438987
Subject(s) - pagerank , computer science , computation , hyperlink , theoretical computer science , partition (number theory) , graph , algorithm , web page , mathematics , combinatorics , world wide web
We introduce a partition of the web pages particularly suited to the PageRank problems in which the web link graph has a nested block structure. Based on the partition of the web pages, dangling nodes, common nodes, and general nodes, the hyperlink matrix can be reordered to be a more simple block structure. Then based on the parallel computation method, we propose an algorithm for the PageRank problems. In this algorithm, the dimension of the linear system becomes smaller, and the vector for general nodes in each block can be calculated separately in every iteration. Numerical experiments show that this approach speeds up the computation of PageRank

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