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twitter

Early Notes on Conference Tweeting

I just did a run on the first two days of the 2009 Nonprofit Technology Conference using the tools I've been working on (see my post on #swineflu earlier this week.) Using the hashtag #09ntc, I parsed 3834 tweets, and I looked up the hubs and authorities, plus generated the graph of the largest strongly connected component within the larger directed graph created from all the "@" replies and retweets.

#swineflu's Largest Strongly Connected Component

#swineflu's Largest Strongly Connected Component

The biggest set of tweeters where everyone is both replying and replied to in the 24-hour twitterfall ending at around 5 p.m. Eastern time on 4/26/2009.

#swineflu's Largest Strongly Connected Component

The biggest set of tweeters where everyone is both replying and replied to in the 24-hour twitterfall ending at around 5 p.m. Eastern time on 4/26/2009.

Twenty Four Hours of #swineflu

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.)

Who Failed With #amazonfail?

I just read two very interesting articles from two commentators I respect immensely: Clay Shirky's The Failure of #amazonfail and Mary Hodder's Why Amazon Didn’t Just Have a Glitch. I won't do their arguments justice here, but I'll try to summarize as best I can.

The Social Media of Protest

I had an interesting experience today watching the various media assembled, largely through twitter, of the protest in 65 5th Ave. While I don't have much to say one way or the other on the event itself, it was fascinating to see the raw news feed come together and to get a sense of the spread of and reaction to the news of a noteworthy event.

Copyright Mike Edwards 2006-2009. All content available under the Creative Commons Attribution ShareAlike license, unless otherwise noted.

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