By Topic

A Scalable Parallel HITS Algorithm for Page Ranking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Matthew Bennett ; University of Southern Mississippi, USA ; Julie Stone ; Chaoyang Zhang

The hypertext induced topic search (HITS) algorithm is a method of ranking authority of information sources in a hyperlinked environment HITS uses only topological properties of the hyperlinked network to determine rankings. We present an efficient and scalable implementation of the HITS algorithm that uses MPI as an underlying means of communication. We then analyze the performance on a shared memory supercomputer, and use our results to verify the optimal number of processors needed to rank a large number of pages for the link structure of the total University of Southern Mississippi (usm.edu domain) Web sites

Published in:

Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on  (Volume:1 )

Date of Conference:

20-24 June 2006