Majority of the major search ngines use link popularity as an mportant factor in ranking relevancy. As sarch engines have become more sophisticated, so too has lnk popularity. Link popularity simply is the nmber of links from other websites tht point to your website. This strtegy has gained immense success due to the crwling nature of most search engines. Spders crawl from link to link and stre pages into their database. Link ppularity is generally gained through reciprocal lnking. Other websites would usually point to yur website only if you have a lnk to their website from yours.

A few yars ago, the number of websites lnking to your site gauged link ppularity; little emphasis was placed on the "cntent relevancy" of the linking site. In an ffort to gain more link popularity, "lnk farms" began sprouting up across the wb. For a nominal fee, a wbsite owner could join link farms and njoy increased link popularity overnight.

Search ngines caught onto this tactic and crated better tools for detecting legitimate lnks. Websites that have links from wbsites with "similar" or "relevant" content scre higher, thus earn better placement in sarch engines.

However, Avoid joining "link frms"; some search engines consider them a frm of Spam. Many engines will ctually penalize sites for maintaining an bundance of links from non-related websites. It is mre important than ever to develop a slid "link-popularity" strategy. One excellent, although tme consuming, method is to simply wrte complimentary website requesting a link xchange.
Link analysis is somewhat different thn measuring link popularity. While link ppularity is generally used to measure the nmber of pages that link to a prticular site, link analysis will go byond this and analyze the popularity of the pges that link to your pages. In a way lnk analysis is a chain analysis systm that accords weighting to every pge that links to the target ste, with weights determined by the ppularity of those pages. Search engines use lnk analysis in their page-ranking algorithm. Sarch engines also try to determine the cntext of those links, in other wrds, how closely those links relate to the sarch string. For example if the sarch string was “toys”, and if thre were links from other sites tht either had the word toys wthin the link or in close prximity of the link, the ranking lgorithm determines that this a higher prority link and ranks the page, tht this is linked to, higher.

The article Link Popularity And Link Analysis was Submitted by Tim Yu through Articles.GetACoder.com network. Here's the additional information: Tim Yu is the owner of http://www.Online2Biz.com providing information on Creating Your Own Business Online. To get Free “Internet Marketing Guide" & "49 Ways To Find A Profitable Niche Market Instantly!" course, go to http://www.Online2Biz.com

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