Top 100 analyst blogs
The business case for blogging is something that many firms are still mooting. It would appear that this is also the situation for analyst firms – in an industry where opinion is a sought after commodity, it is no wonder that many companies are unsure whether to give away their IP in this format.
Nevertheless, some people and striving ahead in this field as their readership soars and the number of people linking to their blogs increases. Below is the list of the top 100 analyst blogs as
determined by PageRank, subscribers, recent inbound links, frequency and focus of posts as well as the number of comments.
Congratulations to those who made the top 100.
Blogs that didn’t make the top 100 but are worth watching: Birdahonk, A Springboard to Services, Robin Bloor’s Blog: have Mac will blog, Holway’s HotViews and Keeping IT Grounded. These blogs are relatively new and probably would feature higher if their Google PageRank was up-to-date.
When I first compiled the list if top analyst blogs, I was at surprised at the sheer quantity out there and yet also shocked at how some of the larger ‘Tier 1′ firms have taken only tentative steps in this space. What can be seen though is that the blogs that tend to be most successful have a few underlying themes, namely:
- Topics – analysts who specialise in social media unsurprisingly dominate the top 10.
- Companies – firms like Forrester, RedMonk continue to have a loud voice. Whereas IDC and Gartner fail to have a regular dialogue
- People – individuals like Jeremiah Owyang (new entry at number 1 – well done) are bigger than the firms they are part of.
- Comments – one of the main differences between offline and online media is the ability to have conversations with an audience. Analyst reports are typical of this one-way dialogue. It is surprising therefore when companies such as Jupiter (who have 23 bloggers) don’t allow their readers to get involved.
- Frequency and focus – last year Gartner predicted that “that the number of active bloggers would hit its all-time high in 2007, levelling out soon thereafter”. There is some truth in this – whilst compiling this league table it was evident that some blogs that previously made the top 100 hadn’t been updated for well over 2 months. I have scored blogs higher if they stay relevant and posts are made frequently.
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.
Google Reader Subscribers (0 to 10) – Google reader lists the total number of subscribers to a blog. I believe this is a more realistic number to that which Bloglines provides. Mihai Parparita confirms that “these numbers include subscribers across all Google services”. To account for people using other readers (e.g. Newsgator) it has been suggested that this number is multiplied by 3. 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 Google Reader Subscribers value, and each range was assigned a number (0 to 30) that was used as part of the algorithm. Where people scored the same total score, the blog that had the highest Technorati authority gained the higher ranking.
Technobabble Points (0 to 10) – As the only personal subjective measure in the algorithm, 0 to 10 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 Reader Subscribers||30%|
Additional reading: Analyst blogging – is it worth it?
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