Challenges of tracking topical discussion networks online
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Challenges of tracking topical discussion networks online



ICA 2010 presentation.

ICA 2010 presentation.
25 June 2010, Singapore.



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Challenges of tracking topical discussion networks online Challenges of tracking topical discussion networks online Presentation Transcript

  • Challenges of tracking topical discussion networks online ICA 2010 Singapore, 25 June 2010 Tim Highfield Queensland University of Technology Lars Kirchhoff Sociomantic Labs Thomas Nicolai Sociomantic Labs
  • Topical discussion networks the collection of sites or users commenting on a particular event or issue, and the links formed between them
  • Twitter - trending topics, keywords, retweets - hashtag – e.g. #ica2010, #spill - 'flag tag' for World Cup Marc Smith and NodeXL [] Blogs - keywords, links - collectives, communities
  • Network of Twitter users mentioning or linking to 'This is Perth' video, September 2009. Connections based on retweets.
  • Project overview comparative study of Australian and French political blogging January-August 2009: post/article content and out-links collected from blogs and media sites French sites: 217 active (148 blogs) 22,989 blog posts collected
  • Initial steps network formed between blogroll links from the 217 sites represented in sample (semi-permanent network) topical networks formed around specific themes or events, located within time periods and through keywords comparison of network and link types
  • Blogroll network: French political blogs
  • Tracking topical networks Pilot study: French political blog posts on the inauguration of Barack Obama [20 January 2009] Posts from 16-25 January 2009 isolated, out-links from these posts used for study Post titles and links containing keywords used to locate topical network
  • All out-links, 16-25 January 2009
  • Obama-specific topical network
  • Challenges Link types: blogroll vs. in-text Lifespan of links: for how long can in-text citations be treated as 'current'? Arbitrary boundaries to topical periods Representation of findings, avoiding cumulative data Link semantics
  • Further directions Additional case studies Dynamics, day-by-day linking Refinement of method Supporting content analysis Applications for non-blog networks
  • Tim Highfield twitter: @timhighfield Lars Kirchhoff twitter: @sociomantic Thomas Nicolai