I grabbed 200 or so recent users of the #TAL12 (Talk About Local) hashtag, and sketched out who's followed by 25 or more of them: The nodes are sized by eigenvector centrality and coloured according to allocation to an automoatcially identified cluster/group based...

A quick emergent social positioning sketch around the #bigdataweek hashtag: I guess what I really need to do now is compare it with the sketch maps I generated around #startaconf.

Rupert Murdoch had his first day in front of the Leveson Inquiry today, so the tweeps were out in droves around the #leveson hashtag. Here's a quick map of who tends to be followed by recent users of the tag.... Funny how @rupertmurdoch comes out near the centrre...

The Catalyst project is a new EPSRC funded research project aimed at "bringing together academics and communities to carry out transformative research on the theme of citizen-led social innovation". As such, the project Twitter account - @catalystproj - may provide a...

A quick ESP sketch around folk who tend to be followed by the friends of @BBCRD (the graph is filitered to include nodes that have an indegree of 25 or more and/or outdegree of 50 or more): I ran the Gephi modularity cluster over it a couple of times, then filtered...

I grabbed 1500 recent tweets containing the #drg12 hashtag, identified folk who had used the tag at least twice in the sample, grabbed all their friends and constructed a network containing recent repeat hashtaggers and folk followed by five or more the recent repeat...

A twitter account - @oduguk - has been pre-emptively set up to support the activities of the new/yet-to-be formed Open Data User Group (eg First Sightings of the Data Strategy Board). I grabbed the 200+ plus early followers of the account, grabbed their friends (ie folk...

I grabbed 1500 recent tweets mentioning #strataconf (including retweets... hmm, maybe I should have excluded them...), found the Twitter IDs of folk using the tag at least twice in my sample, grabbed their friends (from repeated tagger to friends), filtered the resulting...

I've started pondering a series of "profession mapping" exercises on Twitter, based on friend projections of the followers of one or more accounts representing mmebership of a profession. So for example, here's a map of the notable friends of the followers of law firm...