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Published Date: 2004-05-20 01:47:46 WorkOnInternet.com
The resulting graphs show the results for groupings of number of links normalized into a number between -100 and +100 showing the likelihood of being ranked higher/lower. A value of +100 shows that all 10 rankings were in the proper order to show that pages of the studied value ALWAYS rank HIGHER than pages of another value. A value of -100 shows that all 10 rankings were in the proper order to show that pages of the studied value ALWAYS rank LOWER than pages of another value. Numbers in between show the varying likelihood of rankings proportionally between -100 and +100. That is the number you see on the Y-axis. On the X-axis, we have the number of links found. They are grouped into sets of 10 in order to increase the statistical significance with the amount of data we had available to analyze. Here are the graphs for the two leading search engines: http://www.SearchEngineGeek.com/graphs/dey01.gif http://www.SearchEngineGeek.com/graphs/deg01.gif (Note to webmasters: Feel free to hot link to the above graphs or copy them to your own site if you publish this report. Feel free to remove this note as well.) The number of links were grouped in this way in order to increase the number of data points available. Unfortunately it also reduces the precision of the results. One is able to see that 91-100 links rank much higher than 1-10 links, but you are unable to see if 77 links rank differently than 79 links (for example). The result is very conclusive. Both leading search engines rank pages with more links much higher than pages with fewer links! Once again, it appears that the SEOs touting the "PR Leak" theory are simply wrong. If their theory held any weight at all, we should see the exact opposite. Pages with more links should rank lower on average. Notes: 1. There was no exercise to attempt to isolate different keywords. I merely took a random sampling of the queries performed by myself and three associates during the month. 2. This is merely a correlation study, so it cannot be determined from this study whether the leading search engines purposefully entertain this factor or not. The actual factors used may be far distant from the factor we studied. -------------------------------------------------------------------------------- Jon Ricerca is one of the leading researchers and authors of the Search Engine Ranking Factor (SERF) reports at SearchEngineGeek.com. For access to the other SERF reports, please visit: http://www.SearchEngineGeek.com
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