1. Monitoring Influenza Trends though Mining Social Media By Courtney D Corley, Armin R Mikler, Karan P Singh, and Diane J Cook Jedsada Chartree 02/07/2011

2. Outline Introduction Motivation Methodology Results Conclusion

3. Introduction 1. Influenza (Flu) is an infectious disease caused by influenza viruses, that affects birds and mammals. Source: http://en.wikipedia.org/wiki/Influenza

4. Introduction Influenza Symptoms - Chills, fever, sore throat, muscle pains, severe headache, coughing, weakne ss/fatigue Source: http://en.wikipedia.org/wiki/Influenza Influenza Transmission - Air (coughs/sneezes) - Direct contact

5. Introduction Source: http://www.google.org/flutrends/us/#US Influenza season in the US

6. Introduction 2. Social Media - Media for social interaction - The use of web-based and mobile technology to turn communication into interactive dialogue.

7. Introduction Social Media: Blogger, WordPress, Google Buzz, Twitter, Facebook, Hi5, MySpace Source: http://www.webseoanalytics.com/blog/social-media-best-practices-for-businesses/

8. Motivation Difficulty of identifying the Influenza - Patients with Influenza-like-illness (ILI) have to be examined by physicians. Web and Social Media (WSM) provide a resource increases in ILI.

9. Methodology Data - Spinn3r: a web service for indexing all blogs connected as community/social network. - 44 million posts from 1-August to 30-September, 2008

10. Methodology/Results Actual and Average Blog-World Posts per Day of Week

11. Methodology/Results

12. Autocorrelation Function (ACF) is the similarity between observations as a function of the time separation between them.

13. Methodology/Results FC-post trends

14. Methodology/Results Blog Category occurrence per Month

15. Response Strategy in “Flu” Blog Communities Identify WSM Influenza-related communities that share flu-postings which could disseminate information. - Bloggers: first response (link analysis) - Readers

16. Response Strategy in “Flu” Blog Communities 1.Closeness: Finding the average shortest parts from each actor and all reachable actors. 2.Betweenness centrality: A blog is central if it lies between other blogs. 1.Google’s PageRank: A numerical weighting to each website.

17. Response Strategy in “Flu” Blog Communities

18. Conclusion Strong correlation between FC-Posts per week and CDC Web and social media provide resources to detect increases in ILI WSM Influenza-related communities could share information in the case of flu outbreak.

19. References C. Corley, A. Mikler, K. Singh, and D. Cook. 2009. Monitoring influenza trends through mining social media. International Conference on Bioinformatics and Computational Biology (BIOCOMP09).