[flickr]36026280[/flickr]Publishing an early draft of this image generated a couple of ‘it looks like’ comments (HT @LornaMCampbell @glittrgirl). To me it looks like a heart, hence the title of this post. The other thing that usually raises questions is how the colour grouping are defined (HT @ambrouk). The answer in this case is it’s generated from a modularity algorithm which tries to automatically detect community structure.
As an experiment I’ve filtered the Twitter profile information used for each of these groupings and generated a wordcloud using R (The R script used is a slight modification of one I’ve submitted to the Twitter Backchannel Analysis repository Tony started – something else I need to blog about. The modification is to SELECT a column WHERE modclass=somthing).
Right all this post has done is remind me of my post backlog and I’ve got more #ukoer visualisation to do so better get on with it.
*it’s a partial list because as far as I know there isn’t a complete archive of #ukoer tweets. The data I’m working from is from an export from TwapperKeeper for March 2010-Jan 2012 topped up with some data from Topsy for April 2009-March 2010