::Google Page Rank
We believe that there is no one out there who can describe the page
rank technology better than Google itself ! The below documentation was
being collected from Google ,it is described the
Sophisticated page rank technology and how does it work ! it is the
best source for
those who would like to know and discover the reality of Google page
rank.
A. How does Google rank pages?
1. The basics Google's order of results is automatically determined by
more than 100 factors, including our Page Rank algorithm.
Due to the nature of search engine business and our interest in
protecting the integrity of our search results.
2. Why does your page's rank keep changing?
Google updates its index every four weeks. Each time they update their
database of web pages, their index invariably shifts: they find new
sites,
they lose some sites, and sites ranking may change.
Your rank naturally will be affected by changes in the ranking of other
sites.
you can be assured that no one at Google has hand adjusted the results
to boost the
ranking of a site.
Google's order of results is automatically determined by several
factors,
including its PageRank algorithm.
In short PageRank is a “vote”, by all the other pages on the Web, about
how important a page is. A link to a page counts as a vote of support.
If there’s no link there’s no support (but it’s an abstention from
voting rather than a vote against the page).
Quoting from the original Google paper, PageRank is defined like this:
We assume page A has pages T1...Tn which point to it (i.e., are
citations). The parameter d is a damping factor which can be set
between 0 and 1. We usually set d to 0.85. There are more details about
d in the next section. Also C(A) is defined as the number of links
going out of page A. The PageRank of a page A is given as follows:
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... +
PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages,
so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm,
and corresponds to the principal eigenvector of the normalized link
matrix of the web.
To calculate the PageRank for a page, all of its inbound links are
taken into account. These are links from within the site and links from
outside the site.
PR(A) = (1-d) + d(PR(t1)/C(t1) + ... +
PR(tn)/C(tn))
That's the equation that calculates a page's PageRank. It's the
original one that was published when PageRank was being developed, and
it is probable that Google uses a variation of it but they aren't
telling us what it is. It doesn't matter though, as this equation is
good enough.
In the equation 't1 - tn' are pages linking to page A, 'C' is the
number of outbound links that a page has and 'd' is a damping factor,
usually set to 0.85.
We can think of it in a simpler way:-
A page's PageRank = 0.15 + 0.85 * (a "share" of the PageRank of every
page that links to it)
"share" = the linking page's PageRank divided by the number of outbound
links on the page.
A page "votes" an amount of PageRank onto each page that it links to.
The amount of PageRank that it has to vote with is a little less than
its own PageRank value (its own value * 0.85). This value is shared
equally between all the pages that it links to.
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