# PageRank Calculation

• Newbie
• Posts: 10

3+ Months Ago

Hi,
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.
Thanks
• Proficient
• Posts: 403
• Loc: London UK

3+ Months Ago

this thread illustrates perfectly why computers were invented.

leave it to the machines my friend.
• Student
• Posts: 85

3+ Months Ago

it gives me a headache to visualize of how google do it, I rather focus more on how to get more traffic to my site...
• Posts: 223

3+ Months Ago

But still I cannot understand how the Google calculate the page rank
• Posts: 129

3+ Months Ago

it's really hard to figure out how their algorithm goes though the main thing for it would be links
• Posts: 151

3+ Months Ago

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