Everything about Pagerank totally explained
PageRank is a
link analysis algorithm 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 also called the
PageRank of E and denoted by
The name PageRank is a
trademark of
Google. The PageRank process has been
patented ( and implemented at
eigenfactor.org
. Instead of merely counting total citation to a journal, the "importance" of each citation is determined in a PageRank fashion.
A similar new use of PageRank is to rank academic doctoral programs based on their records of placing their graduates in faculty positions. In PageRank terms, academic departments link to each other by hiring their faculty from each other (and from themselves).
PageRank has also been used to automatically rank
WordNet synsets according to how strongly they possess a given semantic property, such as positivity or negativity.
A dynamic weighting method similar to PageRank has been used to generate
customized reading lists based on the link structure of Wikipedia.
A
Web crawler may use PageRank as one of a number of importance metrics it uses to determine which URL to visit next during a crawl of the web. One of the early working papers which were used in the creation of Google is
Efficient crawling through URL ordering, which discusses the use of a number of different importance metrics to determine how deeply, and how much of a site Google will crawl. PageRank is presented as one of a number of these importance metrics, though there are others listed such as the number of inbound and outbound links for a URL, and the distance from the root directory on a site to the URL.
The PageRank may also be used as a
methodology to measure the apparent impact of a community like the
Blogosphere on the overall Web itself. This approach uses therefore the PageRank to measure the distribution of attention in reflection of the
Scale-free network paradigm.
==Google's "rel='nofollow'" proposal==
In early 2005, Google implemented a new value, "
nofollow", for the
rel attribute of HTML link and anchor elements, so that website developers and
bloggers can make links that Google won't consider for the purposes of PageRank — they're links that no longer constitute a "vote" in the PageRank system. The nofollow relationship was added in an attempt to help combat
spamdexing.
As an example, people could create many message-board posts with links to their website to artificially inflate their PageRank. With the nofollow value message-board administrator can modify their code to automatically insert "rel='nofollow'" to all hyperlinks in posts, thus preventing PageRank from being affected by those particular posts.
This method of avoidance, however, also has various drawbacks, such as reducing the link value of actual comments. (See:
Spam in blogs#nofollow)
Further Information
Get more info on 'Pagerank'.
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