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Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
Data Visualisation, Axel Bruns
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Data Visualisation, Axel Bruns

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  • 1. Data Visualisation Dr Axel Bruns [email_address] http://snurb.info/
  • 2. Background <ul><li>Social Media: </li></ul><ul><ul><li>source of vast amounts of data and metadata </li></ul></ul><ul><ul><li>increasingly made immediately publicly available </li></ul></ul><ul><ul><li>accessible directly or through APIs </li></ul></ul><ul><li>Enables: </li></ul><ul><ul><li>tracking public communication and cultural participation </li></ul></ul><ul><ul><li>automatic analysis at (very) large scale </li></ul></ul><ul><ul><li>effective visualisation to identify key patterns </li></ul></ul><ul><ul><li>(close to) real time analysis </li></ul></ul>
  • 3. Twitter : individual user stats (from http://dcortesi.com/2007/12/27/twitter-stats/ , via Jean)
  • 4. Twitter : friends networks (from http://bvlg.blogspot.com/2007/04/twitter-vrienden.html , via Jean)
  • 5. 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/ )
  • 6. &nbsp;
  • 7. Last.fm : geographic distribution of users (from http://visualizinglastfm.de/einfuehrung.html )
  • 8. Where to from Here? <ul><li>Currently: </li></ul><ul><ul><li>more data than research ideas… </li></ul></ul><ul><ul><li>useful to investigate virtually any form of mediated cultural activity </li></ul></ul><ul><ul><li>needs to be combined with other methods – avoid data-driven research </li></ul></ul><ul><li>Potential uses: </li></ul><ul><ul><li>examine diffusion and evolution of ideas </li></ul></ul><ul><ul><ul><li>e.g. change in listening patterns on last.fm after new album releases </li></ul></ul></ul><ul><ul><ul><li>e.g. spread of news across the Twitter network </li></ul></ul></ul><ul><ul><li>investigate interconnections between different media spaces </li></ul></ul><ul><ul><ul><li>e.g. interrelation between mainstream and social media </li></ul></ul></ul><ul><ul><ul><li>e.g. patterns of media embedding between social media sites </li></ul></ul></ul><ul><li>Needs: </li></ul><ul><ul><li>build better tools for such research </li></ul></ul><ul><ul><li>develop expertise / collaborate with experts in data mining and visualisation </li></ul></ul><ul><ul><li>establish ethical guidelines for using and storing these data </li></ul></ul>

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