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Detecting Communities in Science Blogs

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Christina Pikas
Christina Pikas

A structural exploration of the science blogosphere using social network analysis to look at central actors and cohesive subgroups. This was given at the 2008 4th IEEE eScience Conference in Indianapolis, IN, 12/10/2008

Technologie
1 von 24
Detecting Communities in Science Blogs Christina K. Pikas [email_address]     http://terpconnect.umd.edu/~cpikas/ScienceBlogging
Problem Area ,[object Object],[object Object],[object Object],[object Object]
Specific Problem Addressed ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background: Blogs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Posts Links to Static Pages Links and automatically generated content http://dorigo.wordpress.com/
Access to posts by search and older posts using the calendar A list of most recent posts is automatically generated
A list of categories the blogger used to describe his posts. Clicking will list all of the posts in that category. The blogroll is a list of blogs the author reads or endorses to some extent. Access to the older posts by month.
The individual post page looks a lot like the blog home page
But with Comments, which may be signed with the the commenter’s URL And a form to leave your own comment. Typically your e-mail will not appear on the site
Background: Social Network Analysis ,[object Object],[object Object],[object Object],[object Object]
Methods: Sample Selection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods: Data Gathering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods: Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods: Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results: Link Analysis (Blogroll) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Results: Commenter ,[object Object],[object Object],[object Object]
 
Discussion: Links (Blogroll) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Discussion: Commenters ,[object Object],[object Object],[object Object],[object Object]
Take Home Messages ,[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Detecting Communities in Science Blogs

  • 1. Detecting Communities in Science Blogs Christina K. Pikas [email_address]     http://terpconnect.umd.edu/~cpikas/ScienceBlogging
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  • 6. Posts Links to Static Pages Links and automatically generated content http://dorigo.wordpress.com/
  • 7. Access to posts by search and older posts using the calendar A list of most recent posts is automatically generated
  • 8. A list of categories the blogger used to describe his posts. Clicking will list all of the posts in that category. The blogroll is a list of blogs the author reads or endorses to some extent. Access to the older posts by month.
  • 9. The individual post page looks a lot like the blog home page
  • 10. But with Comments, which may be signed with the the commenter’s URL And a form to leave your own comment. Typically your e-mail will not appear on the site
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