(This is an update of a post I wrote last year with all-new 2012 data. There are 90% more tweeters this year, and only 12% of tweeters were also at Strata 2011).
Strata is an O’Reilly-run conference for people who analyze and visualize Big Data; if you are reading this, you probably already know that.
I was curious as to who I should follow on Twitter here, and recalled that the Attendee Directory asked people to fill in their Twitter usernames. What better way to find people who are actually here? (Obviously you can search #strataconf or look at the users @strataconf follows, but that won’t tell you who is popular, fast).
So I pulled together a python script to scrape the Attendee Directory for users that listed Twitter accounts, look those accounts up on Twitter to see how many followers they have, and get some related information. I wrapped up by linking each Twitter user back to the Attendee Directory, so you can view their profile, etc.
Perhaps most importantly, this list includes locations, so you can find other people from your area.
The raw data is available here as JSON dictionary. The keys are Twitter user names, the values are lists: (num followers, profile image, home page, full name, location, description, Strata Attendee ID).
I ran this code again after the conference was over to accomodate 15 people who linked their twitter accounts to their attendee directory entry after the conference started. The updated list is here, and the backing json data is here.
On average, twitter users gained 7.9 followers during the conference. Congrats to @haseebbudhani who was the biggest mover and shaker, moving 22 places from #367 to #345.