DIM 11.09 - Tommaso Venturini, médialab SciencesPo
1.
2. HOW ? By processing hundreds of billions of individual searches from 5 years (2003-2008) of Google search logs To track influenza-like illness in a population.
10. J. S. Brownstein, C. Freifeld, C. Madoff, 2009 “ Digital Disease Detection” New England Journal of Medicine 360, no. 21
11. Jurgen Doornik 2009 “ Improving the Timeliness of Data on Influenza-like Illnesses using Google Search Data” (unpublished)
12. Hyunyoung Choi and Hal Varian, 2009 “Predicting the Present with Google Trends” http://googleresearch.blogspot.com
13. N. Askitas and K. Zimmermann, 2009 “Google Econometrics and Unemployment Forecasting.”
14. G. K., Webb, 2009 "Forecasting U.S. Home Foreclosures with an Index of Internet Keyword Searches" In Value Creation in E-Business Management
15. J. Azar, 2009 "Electric Cars and Oil Prices" SSRN eLibrary
16. Laura Granka 2009 "Inferring the Public Agenda from Implicit Query Data" Proceeding SIGIR 2009
17. M. Scharkow / J. Vogelgesang, 2009 "Google Insights for Search: A Methodological Innovation in the Study of the Public Agenda? » DGPuK Conference
18. Yair Shimshoni Niv Efron Yossi Matias, 2009 "On the Predictability of Search Trends" Google, Israel Labs
19. R. Karthik, A. Rachakonda, S. Srinivasa, 2008 "Query Heartbeat" In proceeding of COMAD
