Friday, November 7, 2008

Google Page Rank

here are many theories about page rank I am trying to give the best information about page ranks to help you to increase page rank of your web pages.

Google was the first search engine company to patent the system of taking into account inbound links, this algorithm was named as page rank. Page rank is estimated separately for each web pages and is determined by page rank- Citation, of other pages referring to it. Page rank is also regarded as the possible frequency of visits to a web page.
The Page Rank of a specified web page is thus defined as the probability that a visitor or a user may visit the web page.

It is assumed that the user starts viewing the websites from some random web pages, then the visitor or user follows the links to other web resources. There is always a possibility that the user may leave a web site with out following any outbound links and start viewing documents from a random webpage. The page rank algorithm estimates the probability of this event as 0.15 at each step. The probability that our users or visitors continue surfing by following one of the links available on the current web page is therefore 0.85, assuming that all links are equal in this case. If the user or visitor continues surfing indefinitely, popular web pages will be visited many more times than the less popular web pages. The sum of probabilities for all existing web pages is exactly one because the user or visitor is assumed to be visiting at least one Internet Web page at any given moment.

We can see Google page rank number between zero and ten on the Google tool bar. We can determine the Page Rank value for any web page with the help of the Google Tool Bar that shows a Page Rank value with in the range from 0 to 10.

Usually now a days Page Rank is not used directly in the Google algorithm. Since pure Page Rank characterizes only the number and the quality of inbound links to a Web Site, it completely ignores the text of links and the information content of referring pages. These factors are important in page ranking and they are taken into account in later versions of the search engine algorithm.

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