The heart of Google is PageRank™, a system for ranking web pages developed by founders Larry Page and Sergey Brin at Stanford University. And while they have dozens of engineers working to improve every aspect of Google on a daily basis, PageRank continues to play a central role in many of our web search tools.
It measures page importance on a scale from 0 – 10, where 10 is the highest. The PageRank algorithm analyzes the quality and quantity of links that point to a page.
PageRank aka PR is one of the methods Google uses to determine the relevance or importance of a Web page. PageRank is a vote, by all the other Web pages on the Internet, about how important a Web page is. A link to a Web page counts as a vote of support. If there are no incoming links to a Web page then there is no support.
A graphical representation of a web of links between sites used for PageRank calculations.
To calculate the PageRank for a page, all of its inbound links are taken into account. These are links from within the site and links from outside the site.
PR(A) = (1-d) + d(PR(t1)/C(t1) + … + PR(tn)/C(tn))
That’s the equation that calculates a page’s PageRank. It’s the original one that was published when PageRank was being developed, and it is probable that Google uses a variation of it but they aren’t telling us what it is. It doesn’t matter though, as this equation is good enough.
In the equation ‘t1 – tn’ are pages linking to page A, ‘C’ is the number of outbound links that a page has and ‘d’ is a damping factor, usually set to 0.85.
We can think of it in a simpler way:-
a page’s PageRank = 0.15 + 0.85 * (a “share” of the PageRank of every page that links to it)
“share” = the linking page’s PageRank divided by the number of outbound links on the page.
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