The formula should actually divide that (1-d) by the number of pages on the internet for it to work as described. You can’t have a probability greater than 100%. Just a few pages would put the total at greater than 1. Each page would have a minimum PageRank of 0.15 (1-d). But that’s not possible if you use the formula in the paper. In the paper, they said that the sum of the PageRank for every page should equal 1. PageRank for a page = 0.15 + 0.85 (a portion of the PageRank of each linking page split across its outbound links) Simplified a bit and assuming the damping factor (d) is 0.85 as Google mentioned in the paper (I’ll explain what the damping factor is shortly), it’s: Here’s the full PageRank formula from the original paper published in 1997: This means that if you sum up the PageRank for every page on the web together, you should get a total of 1. PageRank was described in the original paper as a probability distribution-or how likely you were to be on any given page on the web. Fun math, why the PageRank formula was wrongĬrazy fact: The formula published in the original PageRank paper was wrong.
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