We investigate the effects of sampling on Twitter flu detection by randomly sampling from our Twitter corpus and computing correlations with Google Flu Trends using the sampled data.
we randomly select n% of the tweets from the full Twitter feed, use our methodology to estimate the ILI prevalence based on these tweets, and compute the correlation between our prevalence estimate and Google Flu Trends' estimate.