PR 10 site's link and Difference between PR(0-10)

Discussion in 'Link Development' started by borhanice, Feb 4, 2012.

  1. #1
    Hi DP friend . i hope and pray all you are fine .I just start a new website called Gaba supplement guide . I want to make some back link for the site . I just find out some website, forum and blog with high page rank , I just select PR6 to PR10 at my list . Most of the site with high rank is no-follow . But i get some site and forum with Do-follow . Recently i also arrange 20 back link from PR2-PR5 site, May be i had to spanned so money to do this .Now i have a question What is the Difference between PR0 to PR1 to PR2 to PR3 to PR4 to PR5 to PR6 to PR7 to PR8 to PR9 to PR10 !Do you know how the rank is managed by Google? If i have 100 Do-follow Back link from PR0 site then is it equal to 1(one) PR5 back link ?or If i have 100 Do-follow Back link from PR5 site then is it equal to 1(One) PR 10 Back link ??or If i have 20 Do-follow Back link from PR7 site then is it equal to 1(One) PR 10 Back link ???and
    ????PR0 =1 PR1
    ????PR1 =1 PR2
    ????PR2 =1 PR3
    ????PR3 =1 PR4
    ????PR4 =1 PR5
    ????PR5 =1 PR6
    ????PR6 =1 PR7
    ????PR7 =1 PR8
    ????PR8 =1 PR9
    ????PR9 =1 PR10
    PR 10 forum http://www.addthis.com/forum . No-follow , No signature :(
    PR 10 blog http://www.addthis.com/blog No-follow
    PR 9 Forum http://forum.joomla.org/
    Do-follow , Signature available ( I have more :) )
     
    borhanice, Feb 4, 2012 IP
  2. winterweb

    winterweb Active Member

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    Hi,

    you can see the algorithm in the english wikipedia :

    PageRank is a distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes, called "iterations", through the collection to adjust approximate PageRank values to more closely reflect the theoretical true value.

    A probability is expressed as a numeric value between 0 and 1. A 0.5 probability is commonly expressed as a "50% chance" of something happening. Hence, a PageRank of 0.5 means there is a 50% chance that a person clicking on a random link will be directed to the document with the 0.5 PageRank.
     
    winterweb, Feb 4, 2012 IP