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Health 2.0 Tweet Stream Analysis

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Chris Hogg
Chris Hogg

Tweet Stream Analysis of Tweets from Health 2.0 Conference in Boston, April 22-23, 2009. #Health2Con

TechnologyHealth & Medicine
1 of 18
Tweet Stream Analysis Health 2.0 Meets Ix Conference Hashtag: #Health2Con Boston, April 22-23, 2009
Source and Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary statistics: we tweeted a lot What can we learn from the extensive content contributed to #health2con?
Thanks to all those who contributed to #Health2Con
Who was tweeting to #Health2Con? ,[object Object],[object Object],[object Object],[object Object]
Top 50 most prolific posters to #Health2Con ,[object Object],[object Object]
But what can we learn from tweet stream analysis? ,[object Object],[object Object]
Can we learn the community’s interests or priorities from most common words used? ,[object Object],[object Object],[object Object]
What can we learn from the way people use specific keywords or phrases? Many Eyes interactive version available at: http:// bit.ly/dCtEz
What can we learn about our Health 2.0 network? ,[object Object],Note: Chart is not actual Health 2.0 network
Can we identify individuals responsible for keeping the conversation going? ,[object Object],Note: Only considered @ reply if @name was placed first in tweet
Biggest “conversationalists” ,[object Object],@ePatientDave Many Eyes interactive version available at: http://bit.ly/RI0nR
Can we identify influencers within the network? ,[object Object],Note: Only captures first RT per tweet
Biggest “distributors” ,[object Object],[object Object],@ekivemark @Doctor_V Many Eyes interactive version available at: http://bit.ly/OWs1r
Timeline of tweets to #Health2Con ,[object Object],[object Object],Wednesday April 22, 2009 Thursday April 23, 2009
What can we learn about individual presentations? ,[object Object],[object Object],[object Object]
Can we learn sentiment or key interests about individual companies from short demos? Interactive version available at: http:// bit.ly/dCtEz Note: analysis of tweets including “curetogether” or “cure together”
All questions. Few answers. Thanks for reading. ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Health 2.0 Tweet Stream Analysis

  • 1. Tweet Stream Analysis Health 2.0 Meets Ix Conference Hashtag: #Health2Con Boston, April 22-23, 2009
  • 2.
  • 3. Summary statistics: we tweeted a lot What can we learn from the extensive content contributed to #health2con?
  • 4. Thanks to all those who contributed to #Health2Con
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. What can we learn from the way people use specific keywords or phrases? Many Eyes interactive version available at: http:// bit.ly/dCtEz
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Can we learn sentiment or key interests about individual companies from short demos? Interactive version available at: http:// bit.ly/dCtEz Note: analysis of tweets including “curetogether” or “cure together”
  • 18.