Measured the rate of information diffusion across a large network of investors by tracking retweets of breaking news during trading hours.
Discovered how stock return and volatility will change based on the pattern of information diffusion. Developed a model which can predict information diffusion and therefore stock return in the near future based on information observable during the first ten minutes after the initial tweet.
Fig 1. Available soon.