Top analyst twitters / micro-bloggers… updated
Edit: 12 May: updated with 10 additional analysts
After I published the top analyst twitters last week, I am pleased to say there has been a surge of activity amongst the analyst community regarding who twitters and how they use it. I have now updated the table below to take the new players into consideration. Carter has kept his fantastic directory up-to-date and I have used this as a basis for who should be included.
Below this table I have also compiled some of the comments and anecdotes that people have made regarding how they use this tool as part of their job.
|6||AMR Research||Jonathon Yarmis||21||14||29||16||80|
|7||Jupiter Research||Michael Gartenberg||22||14||29||15||80|
|11||Aite||Ron Shevlin *||14||15||29||13||70|
|14||Monash Research||Curt Monash||25||14||13||15||67|
|15||AIIM Market Intel.||Dan Keldsen||19||14||16||18||66|
|17||Burton Group||Mike Gotta||16||11||19||14||60|
|20||Freeform Dynamics||Jon Collins||15||13||16||14||57|
|25||Freeform Dynamics||David Tebbutt||16||10||14||10||50|
|26||Freeform Dynamics||Dale Vile||13||9||16||13||50|
|28||AMR Research||Phil Fersht||15||9||11||9||43|
|32||Elemental Links||Brenda Michelson||12||9||11||9||41|
|38||Patricia Seybold Group||Patricia Seybold||9||6||5||13||32|
|39||Hurwitz & Associates||Judith Hurwitz||13||4||8||6||32|
|43||Hurwitz & Associates||Robin Bloor||10||4||7||5||26|
|44||Bathwick Group||Gary Barnett||10||7||0||8||25|
|45||Freeform Dynamics||Martin Atherton||7||2||1||13||22|
|47||Jupiter Research||Barry Parr||10||4||4||5||22|
|51||Gartner||David M. Smith||11||2||1||4||17|
|52||Gartner||Dan Sholler *||4||5||0||8||17|
|54||Entiva Group||Alex Fletcher||3||0||0||6||9|
* Updates protected – average Technobabble score given based upon Follower/Update ratio
It’s important for people to know that using Twitter actually helps me with my analysis, I’ve a direct connection with the marketplace that I cover (social computing) and I’m able to find out information at rapid speed, as well as deliver information.
I would guess I have over 100 clients who are on twitter, and we’re building relationships, sharing, and learning about each other.
I have to give points to The Guv’nor – a few months ago, I was showing Twitter to a client and he offered his services to them as an alternative.
I’ve found Twitter to be immensely valuable in understanding the state of the conversation in the space I am covering (social media technologies), getting to know people, finding inspiration, getting feedback, and highlighting (occasionally) some of my work.
As work life and personal life blend into one, more and more I’m finding twitter to be an effective means of communication. Clients also seem to appreciate being able to reach you easily through whichever connection medium they find easiest at the time, whether its text message, facebook, twitter, phone call, or email.
While I’m absolutely certain of the value of blogging as an analyst, I’m much less convinced by the Twitter proposition. Apart from a few of my clients in the wireless VoIP / Mobile Web 2.0 application area, I’m not aware that most of my contacts (primarily in the mobile industry) use or read microblogging in any form whatsoever. Also, nobody in my social circle has ever mentioned it at all, and I see no reason to play the evangelist.
Count me in–When I noticed that my clients were twittering to the world from our seminars, I wanted in! Now we can thought-provoke one another and keep track… It’s a mini-support network…and having access to the other analysts’ who are out there covering meetings, trade shows, and breaking news, makes it easy to track the pulse!
More comments can be found on SageCircle’s blog on this topic
It is not a massive shock that the people who have scored highest are the same as those who use blogging to great affect. Nevertheless, special mention should be given to Jeremiah Owyang, Stowe Boyd and the entire RedMonk crew for showing the world how Twitter can best be used.
Perhaps the biggest shock is that there are only 49 analyst twitters out there. Maybe I have drank too much kool aid but I would be surprised if this number doesn’t increase dramatically over the next year. Perhaps the other change would be that the tool of choice has evolved from Twitter to another media.
Followers (0 to 30) – Twitter lists the number of followers each user has. Like subscribing to a feed, this is a clear indication of importance as it requires someone to actively request participation. Follower ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 25) that was used as part of the algorithm.
Updates (0 to 30) – How often does someone update what they are doing. This number is purely objective as it scores someone highly no matter what the content of their post (i.e. how relevant is it). Nevertheless it is assumed that if someone posts frequently but has poor content then their ‘followers’ will decrease. Update ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 25) that was used as part of the algorithm.
Conversation (0 to 40) – How many people engage in conversation with you. The clearest way to establish this is to run a search on the number of people who reference @username in a message. This calculation is based upon a 30 day period between 1 April and 1 May 2008. The number of times this happens is calculated with each range was assigned a number (0 to 25) – again this was then used as part of the algorithm.
Technobabble Points (0 to 20) – As the only personal subjective measure in the algorithm, 0 to 25 opinion points were assigned to each blog. People who scored highest in this category had frequent, relevant and high-quality content (asking questions, posting links or commenting on discussions). Please note that I have not scored people low by not having exclusive analyst-focused content as the very nature of Twitter is to engage in off-topic discussions. I also am fully cognisant that some people use Twitter in different ways (such as posting links, asking questions etc) – this ranking recognises the value of each and scores people accordingly.
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:
This ranking system is not meant to be a score based on someone’s ‘popularity’. I have taken careful consideration of the analysts participation into the community and the corresponding willingness of third parties to engage. As with my other posts, this league table is not an end in itself and I hope to gain valuable feedback to understand how I can make this more valid.
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