Data Visualisation Dr Axel Bruns [email_address] http://snurb.info/
Background <ul><li>Social Media: </li></ul><ul><ul><li>source of vast amounts of data and metadata </li></ul></ul><ul><ul>...
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.observatoi...
 
Last.fm : geographic distribution of users (from  http://visualizinglastfm.de/einfuehrung.html )
Where to from Here? <ul><li>Currently: </li></ul><ul><ul><li>more data than research ideas… </li></ul></ul><ul><ul><li>use...
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Data Visualisation, Axel Bruns

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Data Visualisation, Axel Bruns

  1. 1. Data Visualisation Dr Axel Bruns [email_address] http://snurb.info/
  2. 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. 3. Twitter : individual user stats (from http://dcortesi.com/2007/12/27/twitter-stats/ , via Jean)
  4. 4. Twitter : friends networks (from http://bvlg.blogspot.com/2007/04/twitter-vrienden.html , via Jean)
  5. 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. 7. Last.fm : geographic distribution of users (from http://visualizinglastfm.de/einfuehrung.html )
  7. 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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