Finished my work on TwitterExplorer (as far as work can ever be finished). It now features a huge, interactive clustered network of Twitter #hashtags. There are detailed statistics, timelines, and a classification (attempt) for each hashtag, plus a separate clustered network of the 3-hop network around it.

This is one more Python/Django application (for details, see the about page). Especially the interactive graph involved a lot of JavaScript tweaks with the JavaScript InfoVis Toolkit, although I’m not really sure whether it was really worth using it—in the end, I might have needed less code by starting from scratch, using just jQuery and and the HTML5 canvas element.

This is also the first time I placed a flattr button somewhere. Let’s see how much it generates—I don’t have any expectations.