Social media for large studies of behavior | Science
Collective Attention and Stock Prices: Evidence from Google Trends Data on Standard and Poor's 100 | PLOS ONE
The use of ambient humidity conditions to improve influenza forecast | PLOS Computational Biology
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time | Science Advances
Informatics: Make sense of health data | Nature
Point-of-Care Diagnostics: Recent Developments in a Connected Age | Analytical Chemistry
IJERPH | Free Full-Text | Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
SSPH+ | Megatrends in Healthcare: Review for the Swiss National Science Foundation's National Research Programme 74 (NRP74) “Smarter Health Care”
Tackling misinformation: What researchers could do with social media data | HKS Misinformation Review
Meaningful measures of human society in the twenty-first century | Nature
Threshold Models of Collective Behavior | American Journal of Sociology: Vol 83, No 6
Use Internet search data to accurately track state level influenza epidemics | Scientific Reports
Publications - NULab for Texts, Maps, and Networks
The Parable of Google Flu: Traps in Big Data Analysis Share Your Story
A Novel Intelligent Hybrid Optimized Analytics and Streaming Engine for Medical Big Data
The Parable of Google Flu: Traps in Big Data Analysis Share Your Story
NAE Website - Overview of Big Data A US Perspective
![Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a) [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2018/5656/1/fig-2-full.png "Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a) [PeerJ]")
Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a) [PeerJ]
Alessandro Vespignani – MIDAS
Publications | Network Science Institute at Northeastern University
The Parable of Google Flu: Traps in Big Data Analysis
Survey data and human computation for improved flu tracking | Nature Communications
IJERPH | Free Full-Text | Infectious or Recovered? Optimizing the Infectious Disease Detection Process for Epidemic Control and Prevention Based on Social Media
Age-Related Differences in the Accuracy of Web Query-Based Predictions of Influenza-Like Illness | PLOS ONE
Alessandro Vespignani – MIDAS
Contents | Science 343, 6176
