Iterative calculation that flows juice through the web's entire link

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On a personal note, it's my opinion that the engines won't always bias in this fashion; it seems to me that, particularly for generic (non-branded) keyword phrases, this is the cause of a lot of manipulation and abuse in the SERPs. #3 - PageRank Whether they call it StaticRank (Microsoft's metric), WebRank (Yahoo!'s), PageRank (Google's) or mozRank (Linkscape's), some form of an iterative, Markov-chain based link analysis algorithm is a part of all the engines' ranking systems. PageRank et al.


uses the analogy that links are votes and that those pages iran mobile phone numbers database which have more votes have more influence with the votes they cast. The nuances of PageRank are well covered in The Professional's Guide to PageRank Optimization, but, at a minimum, understanding of the general concepts is critical to being an effective SEO: Every URL is assigned a tiny, innate quantity of PageRank If there are "n" links on a page, each link passes that page's PageRank divided by "n" (and thus, the more links, the lower the amount of PageRank each one flows) An




Graph dozens of times is used to reach the calculations for each URL's ranking score Representations like those shown in Google's toolbar PageRank or SEOmoz's mozRank on a 0-10 scale are logarithmic (thus, a PageRank/mozRank 4 has 8-10X the link importance than a PR/mR 3) PageRank can be calculated on the page-level link graph, assigning PageRank scores to individual URLs, but it can also apply to the domain-level link graph, which is how metrics like Domain mozRank (DmR) are derived.