You can see to the left a clip from a project I have been working on in my free time. During the period leading up to the elections I was working on a project to capture twitter data during the debates and later build hadoop jobs to crunch the data and reduce it down to data. The sample to the left from the town hall debate is from the source data, top 100 sources, which represents the twitter clients that people were using with the larget text representing the most used clients. These used a word cloud type visualization, which is hard to draw conclusions from it, though you can pick out the important information. The data needed to be scaled from a range of approximately 30:58000, so I scaled using log10(n/500).