Quote:
Originally Posted by ellie
I don't think that PR depends on number of links you have.
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Ermm? Sorry, I must have missed which planet you said you came from?
PR is ENTIRELY based on links. The content of the page has ABSOLUTELY NOTHING to with the PR calculation
Quote:
2.1.1 Description of PageRank Calculation
Academic citation literature has been applied to the web, largely by counting citations or backlinks to a given page. This gives some approximation of a page's importance or quality. PageRank extends this idea by not counting links from all pages equally, and by normalizing by the number of links on a page. PageRank is defined as follows:
We assume page A has pages T1...Tn which point to it (i.e., are citations). The parameter d is a damping factor which can be set between 0 and 1. We usually set d to 0.85. There are more details about d in the next section. Also C(A) is defined as the number of links going out of page A. The PageRank of a page A is given as follows:
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages, so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web. Also, a PageRank for 26 million web pages can be computed in a few hours on a medium size workstation. There are many other details which are beyond the scope of this paper.
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Note the complete absence of the mention of anything about content in there.
Taken from The Anatomy of a Large-Scale Hypertextual Web Search Engine
Written by Sergey Brin and Larry Page.
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