"Google search algorithm" redirects here. For other search algorithms used by Google, see Google Penguin. For other search algorithms used by Google, see Google Panda.
Mathematical
check Page Rank for a simple network, expressed as
percentages. (Google uses a logarithmic scale.) Page C has a higher
PageRank than Page E, even though there are fewer links to C; the one
link to C comes from an important page and hence is of high value. If
web surfers who start on a random page have an 85% likelihood of
choosing a random link from the page they are currently visiting, and a
15% likelihood of jumping to a page chosen at random from the entire
web, they will reach Page E 8.1% of the time. (The 15% likelihood of
jumping to an arbitrary page corresponds to a damping factor of 85%.)
Without damping, all web surfers would eventually end up on Pages A, B,
or C, and all other pages would have PageRank zero. In the presence of
damping, Page A effectively links to all pages in the web, even though
it has no outgoing links of its own.
PageRank is a link analysis algorithm, named after Larry Page
[1] and used by the Google Internet search engine, that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element
E is referred to as the
PageRank of E and denoted by
The name "PageRank" is a trademark of Google, and the PageRank process has been patented (U.S. Patent 6,285,999). However, the patent is assigned to Stanford University
and not to Google. Google has exclusive license rights on the patent
from Stanford University. The university received 1.8 million shares of
Google in exchange for use of the patent; the shares were sold in 2005
for $336 million.
[2][3]
The value of incoming links is colloquially referred to as "Google juice"...
Source:
Pagerank
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