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Page Rank Theory

Purely Page Rank Theory

You can finish your homework only after you read and understand the lesson. Here is yours:

PageRank is a link analysis algorithm, named after Larry Page 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.

As you can see in the image, mathematical PageRanks (out of 100) for a simple network (PageRanks reported by Google are rescaled logarithmically). Page C has a higher PageRank than Page E, even though it has fewer links to it; the link it has is of a much higher value. A web surfer who chooses a random link on every page (but with 15% likelihood jumps to a random page on the whole web) is going to be on Page E for 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. Page A is assumed to link to all pages in the web, because it has no outgoing links.

For SEO purposes, some companies offer to sell high PageRank links to webmasters. As links from higher PR pages are believed to be more valuable, they tend to be more expensive. It can be an effective and viable marketing strategy to buy link advertisements on content pages of quality and relevant sites to drive traffic and increase a webmaster’s link popularity. However, Google has publicly warned webmasters that if they are or were discovered to be selling links for the purpose of conferring PageRank and reputation, their links will be devalued (ignored in the calculation of other pages’ PageRanks). The practice of buying and selling links is intensely debated across the Webmaster community. Google advises webmasters to use the nofollow HTML attrib value on sponsored links. Google is concerned about webmasters who try to game the system, and thereby reduce the quality and relevancy of Google search results.

  • Temeka Haigler

    Just wasting some time in between class on Digg and I found your post. Not normally what I enjoy to read about, but it surely was well worth my time. Thanks.