The Parable of Google Flu: Traps in Big Data Analysis
Northeastern University · Harvard University Press · +4 more institutions
Indexed incrossrefpubmed
Abstract
Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data.
Citation impact
2,503
total citations
- FWCI
- 180.08
- Percentile
- 100%
- References
- 30
Citations per year
Authors
4- DLDavid LazerCorresponding
Northeastern University, Harvard University Press
- RKRyan Kennedy
Northeastern University, Harvard University, Quantitative BioSciences, University of Houston
- GKGary King
Harvard University, Quantitative BioSciences
- AVAlessandro Vespignani
Northeastern University, Institute for Scientific Interchange, Harvard University, Quantitative BioSciences
Topics & keywords
Topics
Keywords
- Big data
- Coronavirus disease 2019 (COVID-19)
- Fake news
- Internet privacy
- World Wide Web
- Computer science
- Medicine
- Data mining
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