Abstract / Description of output
We describe the results of a new computational experiment on Twitter data. By listening to Tweets on a selected topic, we generate a dynamic social interaction network. We then apply a recently proposed dynamic network analysis algorithm that ranks Tweeters according to their ability to broadcast information. In particular, we study the evolution of importance rankings over time. Our presentation will also describe the outcome of an experiment where results from automated ranking algorithms are compared with the views of social media experts.
Original language | English |
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Publication status | Published - 23 Nov 2012 |
Event | Digital Futures 2012 - Aberdeen, United Kingdom Duration: 23 Oct 2012 → 25 Oct 2012 |
Conference
Conference | Digital Futures 2012 |
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Country/Territory | United Kingdom |
City | Aberdeen |
Period | 23/10/12 → 25/10/12 |
Keywords / Materials (for Non-textual outputs)
- big hitters
- centrality
- social network analysis
- dynamic network