Graph cluster randomization: network exposure to multiple universes
knowledge discovery and data mining, Volume abs/1305.6979, 2013, Pages 329-337.
A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a new feature or condition by exposing a sample of the overall population to it. A drawback with A/B testing is that it is poorly suited for experiments involving social interference, when the treat...More
PPT (Upload PPT)