Twitter’s big hitters

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

Research output: Contribution to conferencePaper

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Abstract

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
Number of pages3
Publication statusPublished - 23 Nov 2012
EventDigital Futures 2012 - Aberdeen, United Kingdom
Duration: 23 Oct 201225 Oct 2012

Conference

ConferenceDigital Futures 2012
CountryUnited Kingdom
CityAberdeen
Period23/10/1225/10/12

Keywords

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

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  • Impacts

    Commercial advantage through computational discovery of dynamic communicators in large digital networks

    Desmond Higham (Participant), Ernesto Estrada (Participant) & Peter Grindrod (Participant)

    Impact: Impact - for External PortalEconomic and commerce

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    Cite this

    Laflin, P., Mantzaris, A. V., Higham, D. J., Grindrod, P., Ainley, F., & Otley, A. (2012). Twitter’s big hitters. Paper presented at Digital Futures 2012, Aberdeen, United Kingdom.