Does the number of links on a page affect its ranking?
Introduction
Lots of research has focused on inbound links to a site, but little has
focused on the number of links actually on a page. Many SEO gurus have
recently been talking about something they call PR Leak which seems to be
a theory that the more outbound links you have, the more your page rank on
Google "leaks" away.
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This concept isn't found in the academic papers published by Google, but
does seem to be accepted by a majority of SEOs. I decided it was time to
take a look at the number of links present on a page and how that number
correlates with ranking.
Methodology
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I gathered the results of the queries that were performed last month by
myself and three associates. I counted the number of outbound links on the
page and tabulated the results against the ranking of the URL in the search
results. The tabulated results were then converted into a normalized
"ranking correlation".
The resulting graph show the results for groupings 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 ten 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.
Results & conclusion
As you can see from the graph below, the results are very conclusive. Google
ranks pages with outbound links much higher than pages without links. The
SEOs touting the PR Leak theory are simply wrong.

Limitations
There was no attempt to isolate different keywords. I merely took a random
sampling of the queries performed by myself and three associates during the
month.
This is merely a correlation study, so it can't be determined whether the
leading search engines purposefully entertain this factor or not. The actual
factors used may be far distant from the factor we studied.
This article was written by Jon Ricerca. Jon is one of the leading
researchers and authors of the Search Engine Ranking Factor (SERF) reports
at SearchEngineGeek.com.
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