#Measure in 2010
Who influences the influencers?
Click through the image for a high res picture . . . it is pretty big so it may take a second or two.
In preparation for publicizing the Web Analytics Association Spring Awards Gala I wanted to know who were the most influential members of the #measure Twitterverse. Fortunately, @minethatdata had great foresight to store the tweets tagged with #measure on Twapper Keeper.
@Minethatdata has been posting about the dynamics of the group for a while so I took a different tactic. That, and somehow improving upon the declartion that @MicheleHinojosa is the oxygen of the community seemed impossible.
Tweets with the #measure hastag are distributed as shown in this graph, with just a selection of users producing most of the content:
Content is King
I used a scoring algorithm to value an increased variety of content, specifically Entropy as defined by:
This is applied to the content of all tweets from a user in 2010 tagged with #measure; entropy is a calculated metric which Google uses in part to value content on web pages.
The final algorithm turned out like this:
Value = Count of Tweets + Entropy – 0.5 * Count of Retweets
Subtracting a bit for retweeting to value original content slightly higher.
Interesting to me was the value of @ulyssez, who score very high with this algorithm. Get him to re-tweet your stuff to gain followers!
Also interesting are the groups outside the main group of information exchange, sometimes consisting primarily of vendors. If they are tweeting to sell to the #measure crowd, 2010 was anything but a success in that effort.
I did not take into account clicks on links, or tweets being retweeted which would improve the utility for sure.
Interested in working with me?
Email me at email@example.com.