Influence of PageRank algorithm in search engine rankings

    If you are wondering what is PageRank, to explain in brief, Google PageRank Algorithm or PR is one of the many methods with the help of which web pages are ranked. Google founders Sergey Brin and Larry Page developed the same at Stanford University.

    Every web page has a score that determines its rank in terms of quality as well as the quantity of the links, the web pages have. This assessment is usually done once Google crawler has done its job of crawling through the pages.

    PageRank Calculation-

    The search engine major recalculates PR scores, every time it crawls a web page. On expansion, however, the PageRank decreases in approximation.

    The “total value of the pages” decreases when multiplied by 0.85. This is just an assumed value.
    Also, there is an assumption that the “average sum of all pages” is equal to one. As such, for a page that has no links, it still gets a value of 0.15. Having links basically means you have voted since these links help to ascertain from what value website a particular link is being directed to another website.
    So, if the link is coming from a high authority website, it contributes to the value of the page.

    Google Page Rank Algorithm-

    The PageRank algorithm is modeled as the behavior of a randomized Web surfer; which can be seen as Markov chain to predict the behavior of a system that travels from one state to another considering the current condition.

    Although Google’s secret formula for PageRank algorithm ranking web pages is still a mystery, most of the SEO stalwarts drew up a formula that was closest to the search engine major’s criteria for PR and worked out ways to unveil the secret to Google PageRank algorithm. The movement of PR or PageRank takes place between external and internal links.

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