Interestingly, it turns out there is an Eclipse product called “Eclipse RT”, so perhaps there weren’t as many retweets as the wordle might have suggested…
Still – 413 of the 640 tweets in the data set contained an @ mention of some kind. Of these, 72 were “directed” (by which I mean, start with an @).
I created network graphs using Prefuse. There are two kinds of links – included in an directed tweet (yellow), and included in a non-directed tweet (purple).
This split is because to me there seems a clear distinction between a conversational directed tweet, and a mention – at a conference, if someone’s speaking a tweet might consist of <quote> + <credit> – this is sharing the person’s ideas with the audience of your twitter stream, but will not normally be denoted by retweet notation.
As yet, I haven’t created and uploaded an applet – for now, you can see the screenshots below. Some observations:
- There’s a dense graph, which the vast majority of users are not connected to.
- There are a few two-person connections separate from the graph.
- The bulk of the activity takes place in this core.
I think it’ll be interesting to apply some clique finding to this. I’m also interesting in applying this distinction (directed vs. mention) to temporal rhythms – thinking along the lines of what I created here.