I've put together a .csv (comma-separated file) with the results I pulled off of Twitter for the first 48 hours of the Iranian election events. Be aware--it's about 20MB. Hopefully, many of you will find this useful in your own research. The columns are tweet id, date and time, text, profile image path, twitter username, twitter user id, and twitter user id of the immediate "reply to" (note that, in my graph analysis, I keep track of all @'s in the message, not just the first one as Twitter does. Only that first id is listed in the data file.)

Here is the latest in my continuing series on analyzing Twitter conference backchannels by their hashtags and replies/retweets. This one, though, is a bit different and special... because I was actually at the conference! Below is my breakdown of Games + Learning + Society 2009 via the #gls and #gls09 hashtags.

Just a quick post about another conference's Twitter backchannel I analyzed recently. Take a look at my posts on #swineflu and #09ntc to get a full picture of what I'm up to here. Basically, I'm looking at the network formed by replies and retweets in Twitter inside of a particular hashtag. Here, I'll go over the results of Museums and the Web 2009, a.k.a. #mw2009.

I've been doing more research on Twitter recently, mostly looking at back channels from conferences (more on that to come). I wanted to post up a quick analysis, though, on a recent story that blew up big--the Swine Flu outbreak (found in twitter, in part, via the #swineflu hashtag.)