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Early Warning and Outbreak Detection Using Social Networking Websites: the Potential of Twitter

Early Warning and Outbreak Detection Using Social Networking Websites: the Potential of Twitter

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Early Warning and Outbreak Detection Using Social Networking Websites: the Potential of Twitter

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  1. Early Warning and Outbreak Detection Using Social Networking Websites: the Potential of Twitter Ed de Quincey, Patty KostkovaCity University

  2. http://www.google.org/flutrends/

  3. http://search.twitter.com/search?q=flu

  4. Number of tweets containing the word “flu”

  5. Most popular words found in all tweets

  6. Collocation of words, one word to the right and the left of the word “flu”

  7. From almost 500,000 tweets collected during May to July 2009

  8. “I have swine flu” 2,888

  9. “I have the flu” 1,530

  10. 976 594 568 350 257 132 117 81 out of 1,530

  11. The majority of usernames (76%) were found at one or more of the other sites

  12. Over 1 million tweets collected now since May 2009

  13. Geolocation