Google PageRank Algorithm ( Trusted from Google )

Discussion in 'Google' started by egyhat, Oct 29, 2007.

  1. #1
    Hi everyone,

    The PageRank Algorithm

    The original PageRank algorithm was described by Lawrence Page and Sergey Brin in several publications. It is given by

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

    where

    PR(A) is the PageRank of page A,
    PR(Ti) is the PageRank of pages Ti which link to page A,
    C(Ti) is the number of outbound links on page Ti and
    d is a damping factor which can be set between 0 and 1.

    So, first of all, we see that PageRank does not rank web sites as a whole, but is determined for each page individually. Further, the PageRank of page A is recursively defined by the PageRanks of those pages which link to page A.

    The PageRank of pages Ti which link to page A does not influence the PageRank of page A uniformly. Within the PageRank algorithm, the PageRank of a page T is always weighted by the number of outbound links C(T) on page T. This means that the more outbound links a page T has, the less will page A benefit from a link to it on page T.

    The weighted PageRank of pages Ti is then added up. The outcome of this is that an additional inbound link for page A will always increase page A’s PageRank.

    Finally, the sum of the weighted PageRanks of all pages Ti is multiplied with a damping factor d which can be set between 0 and 1. Thereby, the extend of PageRank benefit for a page by another page linking to it is reduced.


    Here you can read more about pagerank and see more details.

    http://www.911rank.com/wp/wordpress/2007/10/29/the-distribution-of-pagerank-regarding-search-engine-optimisation/

    Reagrds,
     
    egyhat, Oct 29, 2007 IP