Sunday 17 November 2013

Analysing the Twitter Network of Users Tweeting #FLwebsci

Twitter Users Tweeting about #FLwebsci
Twitter Users Tweeting about #FLwebsci
EDIT: For a larger version of this image, please see http://users.ecs.soton.ac.uk/cjp106/MOOC-Tweeters 

With the University of Southampton’s first MOOC on Web Science now coming up to its second week, work has been under way to promote and discuss the new course, and – in parallel with the MOOC’s focus on the Web – a lot of this has happened on social media. I recently ran a session with Digital Marketing MSc students at the University, who were asked to post messages promoting the MOOC to their own social networks. In a follow-up session, I presented some analysis on the use of the #FLwebsci hashtag on Twitter, to demonstrate the powerful effects of marketing through the social web.


Using a Tweet Harvester run by the University, I collected all tweets containing ‘FLwebsci’ since the FutureLearn platform and the Web Science MOOC were announced. By exporting this data into graphml format, I was able to then load a data file of user interactions into the free, open source program Gephi to begin analysis and visualisation. This is an extended, modified version of a post on the same topic on the MOOC blog, to cover more details about how to create a visualisation such as this if you are interested.