PageRank is one of the most important algorithms ever developed for the Web used by Google that is based on link assessment "the position of your page in the Google search results". The link assessment checks the key word density and the cohesiveness of the data carried by a web page. Each web page is reached using a link, and the link assessment algorithm assesses the presence of keywords that a particular hyperlink points at. It isn't the only factor that Google uses to rank pages, but it is an important one.
PR(A) = (1-d) + d ( PR(t1)/C(t1) + … + PR(tn)/C(tn) ).
That’s the equation that calculates a page’s PageRank and the original one that was published when PageRank was being developed, where
‘t1 – tn’ are pages linking to page A
‘C’ is the number of outbound links that a page has
‘d’ is a damping factor in the range 0 < d < 1, usually set to 0.85
The maximum PageRank is increased by inbound links and decreased by outbound links. For instance, A Web page with ten outbound links sends one tenth of the total available flow to the receiving page. A page linking to only one page sends all of the available PageRank transfer to the next Web page.
The core Google PageRank algorithm “distributes” it’s established PR across all of the outbound links. It's not a series of equal steps. It is logarithmic in its
calculation (log base 10). It takes one step to move from a level to another. For instance, it takes one step to move from PR0 to PR1, it takes a few more steps to PR3, it takes even more steps to PR4, and many more steps again to PR5, and so on up. Each level requires increasingly more high value incoming links than did the previous level.
The pagerank prediction tool is another smart program that can provide a rough estimate of the page rank that a web page can actually reach. It works as really smart way to ameliorate the page ranking of any web page. It's mostly used by the search engine optimizers to get an idea of the future ranking of their web page. By getting the future rankings they can rearrange and manipulate the present backlinks and data, so that improve the further ranking.
