Internet marketing by method

Source: Wikipedia. Pages: 64. Chapters: Affiliate marketing, Incentive marketing companies, Search engine optimization, Meta element, Web directory, PageRank, HubSpot, Nofollow, Duplicate content, Web traffic, Search engine marketing, Keyword research, Email marketing, AStore, Commission Junction, Search engine optimization methods, Permission marketing, Measuring SE ranking results, Link farm, Site map, Content farm, Search engine submission, Backlink, Linkshare, Grass Roots, Yesmail, MediaTrust, SEO contest, Affiliate Summit, Gratis Internet, Search analytics, Hydra Network, Clean URL, Sitemap index, Methods of website linking, Buy.at, EComXpo, Shareasale, Search Engine Strategies, DecorMyEyes, Affiliate Window, Link exchange, E-mail marketing software, Michelle Madhok, Search engine results page, Coupon Smarter, CouponDispatch, Keyword density, Anchor text, Affiliate network, LatestDiscountVouchers, Clickbooth, Google Affiliate Network, Private label rights, Article spinning, Online locator service, Link bait, Red McCombs Media, Affiliate programs directories, Organic search, Money Saving Voucher Codes, TradeDoubler, Search Engine Watch, Image search optimization, Organization of Search Engine Optimization Professionals, White fonting, Ad:tech, Lime Media Marketing, Canonical meta tag, Run of network, Enterprise Search Marketing, Affiliation platform, Azoogle, Transactional Link, Affiliate tracking software, Affiliate manager, SEO Trending. Excerpt: 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. 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 (). 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. Principles of PageRankGoogle describes PageRank: A PageRank results from a mathematical algorithm based on the graph, the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs like Wikipedia (however, Wikipedia is actually a sink rather than a hub because it uses nofollow on external links). The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself. If there are no links to a web page there is no support for that page. Numerous academic papers concerning PageRank have been published since Page and Brin's original paper. In practice, the PageRank concept has proven to be vulnerable to manipulation, and extensive research has been devoted to identifying falsely inflated PageRank and ways to ignore links from documents with falsely inflated PageRank. Other li