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The PageRank

The term PageRank comes from Larry Page who developed this algorithm at Stanford University together with Sergei Brin and patented it in 1997. The original algorithm classified a web portal in linking to the links that referred to it. Thus, a web portal with many links received better marks than one with fewer links - regardless of whether the links were internal or external. This note is a value called PageRank.

Principles of the PageRank algorithm

The PageRank algorithm rates websites based on the following principle: "The more links, the more important the site" and it is the basis of the algorithms used by search engines to determine the positioning of websites. Despite everything, many other factors are currently taken into account, which is why PageRank has lost importance over time. For the algorithm PageRankNot only the number of links is important, but also the value of the linking site. Regardless of content, a web portal will receive higher marks if it receives links from other major web sites. In this way, the positioning of a web portal depends directly on the positioning of the web portal that links it: the entire Internet structure is associated. The grade is determined based on the model "Random Surfer Model".

PageRank transmission

A web portal that contains many links can convey your high PageRank to the websites that are linked to it. Despite everything, the value of these links decreases as there are many other links on the web portal. This "shaping" technique aims to convey the PageRank of the main page to all other sub pages.

The algorithm

The PageRank of a web portal can be calculated as follows:

PR (A) = (1-d) + d (PR (T1) / C (T1) + ... + PR (Tn) / C (Tn))

This gives us the PageRank value of a site A. From PR (Ti) to PR (Tn) is the PageRank of the sites Ti to Tn linked to site A. C (Ti) to C (Tn) represent the number of links from the Ti to Tn sites. [d is the corrective factor between 0 and 1]. The following link does not continue indefinitely by the model Random Surfer Model. This is what the corrective factor does in the formula. Every year the algorithm is updated.

Calculation of PageRank

Generally, it is feasible for a web portal with a PageRank specific has a single link from another website that explains with a PR two points higher. For example, PR 2 can be reached with a link to a PR 4 or a PR 6 with a PR 8. The lower the PageRank of the linked site, the more links are needed to reach a specific PR.

The PageRank calculation is a complex procedure and cannot be represented in a simple table: it all depends on the links that a web portal has and their corresponding values. Of course, PR is very important in the field of SEO since it gives us an indicative view of the effect that links have on the positioning of a web portal.

Pageranks with Addons and Plug-ins

The PageRank can be calculated in a very simple way using various functions, addons and extensions. There are different solutions depending on the browser used. Normally you should install a Addon in the browser. If successful, the PageRank It can be viewed through the navigation bar or in the browser menu of the web portal. most of Addons they also show the Alexa-Ranks and other relevant values for SEO.

Addons for Firefox

  • PageRank 2.0
  • SearchStatus
  • PageRank Client

Addons for Chrome

  • Google Toolbar
  • PageRank
  • Open SEO Stats
  • PageRank Display

Identify Pagerank with sitemap.xml

There are many web apps and plug-ins for different CMS (Content Management System) that help to calculate the PageRank like, for example, Google PageRank Checker 2.0 or the wpSEO-Plugin for WordPress. A disadvantage of this option is that with these apps you will be able to view only the PageRank of the web portal in which you are, and not that of other websites. An alternative is programs based on the sitemap.xml file such as [ pagerank.complex] (German). In this case, you can choose a list of URLs or sitemap.xml files and view all the PR values of that list.

Alternative use

In the middle of the last century, a similar algorithm was used for studies related to sociometry. At that time, this algorithm was used to calculate the reputation of an individual in society. Later, Washington State University realized that this algorithm could also be of great advantage in finding water molecules among poisonous chemicals. Apart from this, the Moz company created the MozRank that determines the popularity of links. And finally, the [Ryte] OPR looks at the popularity of a web portal.


Since these algorithms were mainly based on links, the content, which is a much more important element for users, went unnoticed. At the same time, with these algorithms, it was feasible to buy links to obtain a better positioning, very convenient for the owner of the web portal but little or nothing for the user. Currently there are new algorithms and now the content is a very decisive factor for the positioning of websites in the SERPs.

Relevance in SEO

Currently, PageRank has a secondary role in determining the positioning of a web portal. It appears in the Google Toolbar as a KPI and shows the relevance of a website. In spite of everything, the visible PageRank bar is updated weekly, or even monthly, in this way the current values are never displayed.

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