Investigating the Impact of the Blogosphere: Using PageRank to Determine the Distribution of Attention

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  • + Snurb Axel Bruns 3 years ago
    This paper was presented at the Association of Internet Researchers conference in Vancouver, on 18 Oct. 2007. For more information (and the complete paper), see http://snurb.info/node/751

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Investigating the Impact of the Blogosphere: Using PageRank to Determine the Distribution of Attention - Presentation Transcript

  1. Using PageRank to determine the distribution of attention Lars Kirchhoff | Axel Bruns | Thomas Nicolai Investigating the impact of the blogosphere 18.10.2007
  2. What are the questions?
    • Is the impact of the blogosphere different to other forms of online media?
    • How is PageRank distributed across the blogosphere?
    • Does it indicate the existence of measurable, visible effects of blogs on the overall mediasphere?
    • Has there been a growth in the impact of the blogosphere on the Web over the two years analysed here?
  3. What we have done?
    • 2005
    • ~15m profiles from blogger.com
    • ~8.871m unique blog urls extracted
    • Retrieved Google PageRank
    • 2006
    • same profiles
    • but slightly more unique blog urls extracted (~8.888m)
    • Retrieved Google PageRank
  4. Why PageRank?
    • Available for almost any web page
    • Easy to gather
    • Global property that takes the whole web into account
    • Search is most common way to look for information
  5. What do we have? Blogosphere PageRank Distribution 2005 # blogs PageRank
  6. What do we have? Blogosphere PageRank Distribution 2006 # blogs PageRank
  7. What has happened? Increase and Decrease (%) of PageRank from 2005 to 2006 percent PageRank
  8. What does this mean?
    • Strong decline at PageRank 1,2 / 7-10
    • Lower end: effect of focus on Blogger?
      • Blogger as sandbox  high attrition?
    • Higher end: shrinking A-list?
      • churn away from Blogger?
      • harder to achieve high PageRank in larger, more diverse Web?
    • Need to track trajectories
      • e.g. how many low PR blogs rose from 2005 to 2006?
      • e.g. how many PR7+ blogs survived from 2005 to 2006?
  9. What are the limitations?
    • Coarse values
    • Algorithm is not entirely known
    • Updates for Google PageRank are random
  10. What next!
    • Use more blogs
    • Measure PageRank more frequently
    • Use other indicators/measures (alexa, technorati, BlogLines)
    • Discuss different metrics

+ Axel BrunsAxel Bruns, 3 years ago

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