Twitter’s big hitters

Peter Laflin, Alexander Vassilios Mantzaris, Desmond J. Higham, Peter Grindrod, Fiona Ainley, Amanda Otley

Research output: Contribution to conferencePaper

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 languageEnglish
Publication statusPublished - 23 Nov 2012
EventDigital Futures 2012 - Aberdeen, United Kingdom
Duration: 23 Oct 201225 Oct 2012


ConferenceDigital Futures 2012
Country/TerritoryUnited Kingdom

Keywords / Materials (for Non-textual outputs)

  • twitter
  • big hitters
  • centrality
  • social network analysis
  • dynamic network


Dive into the research topics of 'Twitter’s big hitters'. Together they form a unique fingerprint.

Cite this