October 26th, 2009 | 
Author: What is PageRank?
PageRank is a linking analysis algorithm, named after one of Google founders Larry Page, the PageRank 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. Theis algorithm can be applied to any other collection of entities with reciprocal quotations and references on the internet.
DESCRIPTION:
“PageRank counts on the uniquely democratic nature of the web by using the vast link structure and architecture as an indicator of an individual page’s value. Google checks at various types of source than the sheer volume of votes, or links a page gets; it also analyzes the page that these links and votes cames from. Votes cast by pages that are themselves “higher” weigh more heavily and help to make other pages rank better.
The PageRank results is the total sum among all the other pages on the WWW about how important a page is. A link to any given page counts as a support, vote or even trust. The PageRank of a page is defined recursively and on the PageRank of the incoming links to the page linkd. A page with alot of links with high PageRank get high PageRank itself while pages with no links get no support and from there no PageRank.
Google assigns a numeric value ranging from 0 to 10 for each webpage the crawer visits on the Internet; This is the way Google measures the importance of the pages and how Google ranks these pages. The PageRank is derived from a theoretical probability value on a logarithmic scale like the Richter Scale. The PageRank of a particular page is roughly based upon the quantity of inbound links as well as the PageRank of the pages providing the links. There are several other factors which you have to keep in mind for example – relevance of search words on the page and the content of the page , the actual visits to the page reported to Google also influence the PageRank.
Other link-based ranking algorithms for Web pages include the HITS algorithm invented by Jon Kleinberg (used by Teoma and now Ask.com), the IBM CLEVER project, and the TrustRank algorithm.
