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Studying online conversations in the Korean blogosphere: A network approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],International Sunbelt Social Network Conference Riva del Garda, Italy  July 3, 2010
What content-based features of online interactions help to uncover nodes and ties between online participants? Automated Discovery of Social Networks   among Blog Readers/Commentators ?
ICTA - Online Tool for Social Network Discovery  http://TextAnalytics.net
Objectives ,[object Object],[object Object]
Dataset ,[object Object],[object Object],[object Object]
Sample blog post and comments
Automated Discovery of Social Networks Chain (reply-to) method Visualized by CMU ORA
Automated Discovery of Social Networks    Name Network   Approach FROM: Ann “ Steve  and  Natasha , I couldn't wait to see your site. I knew it was going to [be] awesome!” This approach looks for personal names in the content of  the comments to identify social connections between online participants.  Method Connect the sender to people mentioned in the message Connect people whose names co-occur in the same message(s) Discovered Tie(s) Ann -> Steve  Ann -> Natasha Steve <-> Natasha
[object Object],[object Object],[object Object],[object Object],[object Object],Automated Discovery of Social Networks    Name Network   Approach
Network representation of blog comments
Semi-automated network evaluation 1   난  (I)  2   사진쟁이  (Photographer)  3   그래서  (and, so) 4   테츠  (Tetz) 5   방짜  (Bangzza) 6   댓글  (comment) 7   녹두  (Nokdu) 8   ㅋㅋ  (  , : )) 9   좀  (a little, a bit) 10   사람  (people) Among 10 nodes, only  2 ,  4 ,  5  and  7  are NANEs or IDs of participants in the Bangzza blog 1 2 3 5 6 7 10 8 9 4
Clues suggesting that a word is likely to be a nickname ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Words that are NOT likely to be used as a nickname ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Words that are NOT likely to be used as a nickname (2) ,[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
Acknowledgments  ,[object Object],[object Object]

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Studying online conversations in the Korean blogosphere: A network approach

  • 1.
  • 2. What content-based features of online interactions help to uncover nodes and ties between online participants? Automated Discovery of Social Networks among Blog Readers/Commentators ?
  • 3. ICTA - Online Tool for Social Network Discovery http://TextAnalytics.net
  • 4.
  • 5.
  • 6. Sample blog post and comments
  • 7. Automated Discovery of Social Networks Chain (reply-to) method Visualized by CMU ORA
  • 8. Automated Discovery of Social Networks Name Network Approach FROM: Ann “ Steve and Natasha , I couldn't wait to see your site. I knew it was going to [be] awesome!” This approach looks for personal names in the content of the comments to identify social connections between online participants. Method Connect the sender to people mentioned in the message Connect people whose names co-occur in the same message(s) Discovered Tie(s) Ann -> Steve Ann -> Natasha Steve <-> Natasha
  • 9.
  • 10. Network representation of blog comments
  • 11. Semi-automated network evaluation 1 난 (I) 2 사진쟁이 (Photographer) 3 그래서 (and, so) 4 테츠 (Tetz) 5 방짜 (Bangzza) 6 댓글 (comment) 7 녹두 (Nokdu) 8 ㅋㅋ (  , : )) 9 좀 (a little, a bit) 10 사람 (people) Among 10 nodes, only 2 , 4 , 5 and 7 are NANEs or IDs of participants in the Bangzza blog 1 2 3 5 6 7 10 8 9 4
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.

Editor's Notes

  1. .