By factoring in bounce rate data in calculation of PageRank values, Fabien Mathieu and Mohamed Bouklit create a new and enhanced ranking algorithm.
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Archive for ‘Advanced SEO Topics’
Update: 8 January 2013
Somebody at Google has decided to use more rel=”nofollow” throughout Google+ and here’s an example:
URL within the post is nofollow, comment URL is nofollow, comment poster URL is nofollow (that was always like that) and the shared post URL is also nofollow.
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We tested the influence of small-scale click-through-rate on position of two pages on two new domains in Google. Two freshly registered domains (A & B) were used.
What did our test involve?
1. Search Google for “keyword”
2. Click on domain B in results.
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Is Google purposely randomizing things just to mess with us? Let’s take a look at one patent and two SEO experiments.
In March 2011, I wrote an article outlining an interesting phenomenon I observed with PageRank distribution in a controlled test environment.
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Google’s toolbar PageRank (TBPR) values were released to public in August this year, but with much fresher snapshot date than we remember.
PageRank value is always a historic figure showing real-time PageRank score of a page at the time when the snapshot was taken.
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Taking a look at an old search experiment with some interesting observations in the light of recent algorithm changes.
Note: I welcome all input, feedback and constructive criticism. However, if you’re of the opinion that SEO experiments are pointless, then please leave now before you get deeply upset by the ‘speculative’ nature of this post.
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The way Google presents search results has always been and always will be a bit of an enigma to all of us. Every now and then, however, a snippet of information slips through the cracks giving us a chance to take a look at its search anatomy.
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Does Google use written (non-linked) URLs as a ranking signal? Dejan SEO team investigates with a simple experiment.
The Almost Link
The web is full of plain text URL references and to me they are the missing link in the link graph.
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I have to say that I am a bit fed up with all this “correlation does not equal causation” talk and wish to bring something new to your attention.
Authors of awesome articles rich in research, analysis and data, often feel compelled to inject the correlation ≠ causation clause.
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We asked 2,190 Google users if they noticed any changes in Google results since Penguin. This is what they said.
Google implements countless changes and tweaks to their search results over a single year and most users don’t notice more subtle changes such as order of websites in search results.
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