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Data Visualisation, Axel Bruns
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Data Visualisation, Axel Bruns

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Data Visualisation, Axel Bruns Data Visualisation, Axel Bruns Presentation Transcript

  • Data Visualisation Dr Axel Bruns [email_address] http://snurb.info/
  • Background
    • Social Media:
      • source of vast amounts of data and metadata
      • increasingly made immediately publicly available
      • accessible directly or through APIs
    • Enables:
      • tracking public communication and cultural participation
      • automatic analysis at (very) large scale
      • effective visualisation to identify key patterns
      • (close to) real time analysis
  • Twitter : individual user stats (from http://dcortesi.com/2007/12/27/twitter-stats/ , via Jean)
  • Twitter : friends networks (from http://bvlg.blogspot.com/2007/04/twitter-vrienden.html , via Jean)
  • The World According to the Blogosphere The World According to The Australian (and The Sun ) (from http://www.observatoiredesmedias.com/2008/03/24/le-monde-dans-les-yeux-dun-redac-chef-lamericaine-version/ )
  •  
  • Last.fm : geographic distribution of users (from http://visualizinglastfm.de/einfuehrung.html )
  • Where to from Here?
    • Currently:
      • more data than research ideas…
      • useful to investigate virtually any form of mediated cultural activity
      • needs to be combined with other methods – avoid data-driven research
    • Potential uses:
      • examine diffusion and evolution of ideas
        • e.g. change in listening patterns on last.fm after new album releases
        • e.g. spread of news across the Twitter network
      • investigate interconnections between different media spaces
        • e.g. interrelation between mainstream and social media
        • e.g. patterns of media embedding between social media sites
    • Needs:
      • build better tools for such research
      • develop expertise / collaborate with experts in data mining and visualisation
      • establish ethical guidelines for using and storing these data