{"id":134,"date":"2010-09-20T07:00:21","date_gmt":"2010-09-20T07:00:21","guid":{"rendered":"http:\/\/larica.uniurb.it\/sigsna\/?p=134"},"modified":"2010-09-20T07:00:21","modified_gmt":"2010-09-20T07:00:21","slug":"twitter-reply-networks-on-uk-general-elections-ukge2010","status":"publish","type":"post","link":"https:\/\/sigsna.uniurb.it\/?p=134","title":{"rendered":"Twitter @reply Networks on UK General Elections #UKGE2010"},"content":{"rendered":"

Few days ago Axle Burns and the people from “Mapping online publics<\/a>” posted a very interesting article<\/a> about mapping the Australian election following #ausvote tweets. The idea behind that was rather good and simple: by mapping all the messages containing the conventional reply symbol (@username) one could map the conversational network surrounding a specific topic (defined by the #hashtag). Of course this methods has some limitations (clearly explained by Axle<\/a>), nevertheless it can be use to produce a rough map of the conversational network.
\nSince some time ago we’ve downloaded (using Twapperkeeper<\/a> – the same service used by Axel) all the tweets with the hashtag #ukge2010 (the “official” hashtag about Uk general elections) we have decided to do the same analysis on Uk tweets.
\nSo we’ve got the @replies network and using gephi<\/a> we counted the indegree and the betweenness centrality of the nodes. Following Axle we’ve also excluded from the visualisation itself any users who received fewer than 100 @replies.
\nHere you can see the result:
\n