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That approach has a wide implementation in Number 1 SEO index – PageRank calculation. Since we know that PR is probability distribution over nodes in the graph representing likelihood that a random walk over link will bring you to a particular node, or, in other words, it measures how frequently a web page would be encountered by surfing randomly in the World Wide Web. The program has to iterate through millions of link to measure the importance of every link and the actual PageRank of every webpage. The more incoming links the page has, the higher the probability to get to that page from other pages.
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