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Archive For: Research

Introducing: HyperPagerank


A ‘traditional’ link graph is a directed graph which consists of nodes connected by edges, a schematic representation of a document collection connected by directional links (A → B). Link-based search engines (such as Google) rely on directed link …

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Google+ Hashtags: Initial Observations

One of the more interesting aspects of Google+ redesign in my opinion is the new way of #hashtag handling. This short post goes over a few basic observations I’ve made so far.


What I find interesting is that certain …

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Crowdsourcing: Googler’s Examples of Bad Links

Bad Links

Google’s webspam team consists of people who look at spammy links on a daily basis and can recognise bad links quickly. These people also help webmasters recover from penalties by guiding them through the reconsideration process. Part of the process …

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Impact of Word Count on Social Shares

I have so far written around 200,000 words of content. Some of my posts are long and detailed, others can be amazingly short. I experimented with various formats over the years but was unable to find the exact pattern of …

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Anchor Text Proximity Experiment



I always felt that surrounding text plays a semantic role in Google’s search algorithm, but was never able to ascertain the degree of its influence or whether it has any impact at all. This experiment was designed to test …

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Google Doesn’t Index Selectively Shared Posts

Excluded Circle

As you can guess from the title, our main discovery (or I should say confirmation) is that Google+ posts you share with limited circles will not be indexed and will not return in Google’s non-personalised search results.

So, if you …

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Chameleon’s Tail Chase

 Chameleon's Tail Chase

This article discusses the problem of diminishing keyword data and suggests innovative ways of using the available data in the future.

Key items:

  1. The value of long-tail keywords
  2. Encrypted search gaining momentum
  3. Decreasing amount of available keyword data
  4. Google’s tools

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