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Pagerank checker11/6/2023 Widely distributed links in footers or templates.Keyword-rich, hidden, or low-quality links embedded in widgets that get put on other websites.Low-quality directories or social bookmark links.Articles, guest posts, or blogs with optimized anchor text links.Advertorials or native advertising that includes links that pass ranking credit.Text ads that don’t use nofollow or sponsored attributes.Requiring links as part of a terms of service, contract, or other agreement.Using software to automatically create links.Buying or selling links-exchanging links for money, goods, products, or services.Google has a whole list of link schemes that include: Over the years, there have been a lot of different ways SEOs have abused the system in the search for more PageRank and better rankings. This feature was removed on October 15, 2009. It was shown in categories of high, medium, low, or N/A. PageRank even made its way into Google Sitemaps (now known as Google Search Console) on November 17, 2005. But PageRank itself is a logarithmic scale where achieving each higher number becomes increasingly difficult. It used a simple 0–10 numbering system to represent the PageRank. The PageRank shown in the toolbar was a little different. PageRank in the toolbar was last updated on December 6, 2013, and was finally removed on March 7, 2016. This is how it looked when PageRank was included in Google’s toolbar. It was December 11, 2000, when Google launched PageRank in the Google toolbar, which was the version most SEOs obsessed over. The directory was shut down on July 25, 2011. This was a version of the Open Directory Project but sorted by PageRank. Google first made PageRank public when the Google Directory launched on March 15, 2000. It was titled “ Method for node ranking in a linked database.” This patent expired on January 9, 2018, and was not renewed. The first PageRank patent was filed on January 9, 1998. If the link is four clicks away, the value transferred from that strong page will be a lot less because of the damping factor. If a strong page links directly to another page, it’s going to pass a lot of value. But the likelihood of you then clicking a link on the next page is slightly lower, and so on and so forth. Think of it like this: The probability of you clicking a link on the first page you visit is reasonably high. The PageRank formula also has a so-called “damping factor,” the “d” in the formula, which simulates the probability of a random user continuing to click on links as they browse the web. It’s the same pages with the same links, but the base PageRank for each page has changed, so the resulting PageRank is different. If I calculate the PageRank again (called an iteration), you’ll see that the scores change. This calculation is repeated as Google crawls the web. You’ll notice that the scores are favoring the pages with more links to them.ģ. If I add some links to the five pages above and calculate the new PageRank for each, then I end up with this: This score is then distributed to other pages through the links on the page. Let’s say I have five pages with no links. A page is given an initial PageRank score based on the links pointing to it. It’s still complicated, so let’s see if I can explain it with some visuals.ġ. PageRank for a page = (0.15/number of pages on the internet) + 0.85 (a portion of the PageRank of each linking page split across its outbound links) 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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