Top 100 analyst bloggers league table - coming soon

28Sep07

In June I published a list of the top 50 analyst bloggers – after quite a bit of research I have now updated this table which will be published on Monday.

This new version will take into account new analyst hires and firms as well as a tweaked methodology.

Many thanks to Tekrati for providing an excellent blog directory – you may notice that a few names listed in my table are not included in Barbara’s and I have also excluded a few of hers as I am not convinced they can be classified as analysts. 

As I mentioned earlier, I have taken the feedback I have received from the previous research and modified the methodology.

Scores are now calculated as follows:

Google PageRank (0 to 10) – Google PageRank is a link analysis algorithm that interprets web links and assigns a numerical weighting (0 to 10) to each site. High-quality sites receive a higher PageRank. The ranking uses the actual PageRank as part of its algorithm.

Bloglines Subscribers (0 to 10) – Bloglines displays the amount of subscribers each blog has to its feed(s). Subscriber ranges were determined (i.e., more than 20, more than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.

Technorati Ranking (0 to 10) – Technorati ranking relates the authority of a particular blog (via the number of sites pointing to it). The more link sources referencing your blog, the higher the Technorati ranking. Similar to the Bloglines Subscribers value, and each range was assigned a number (0 to 30) that was used as part of the algorithm.

Digg Points (0 to 10) – Blog articles that have been ‘Digged’ have been deemed by readers to have a high content value. This external subjective score is a great way to identify the quality of the content published in an analyst’s blog.

Technobabble Points (0 to 15) – As the only personal subjective measure in the algorithm, 0 to 15 opinion points were assigned to each blog. I value frequent, relevant, creative and high-quality content with a good number of comments.

Weighting - Each specific variable listed above was given a standard score out of 10. Using a weighting scale I varied the importance of the each metric to establish a blogs total score. For the table listed above the following weightings were used:

Google Pagerank	20%
Bloglines Subscribers	20%
Technorati	30%
Digg	15%`
Technobabble (content/frequency/comments)	15%

I look forward to reading your comments when this is published next week.

This league table was inspired by Todd And’s Power 150, a ranking of the top English-language marketing blogs developed by Todd Andrlik.

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