Graph cluster randomization: network exposure to multiple universes

knowledge discovery and data mining, Volume abs/1305.6979, 2013, Pages 329-337.

Cited by: 115|Bibtex|Views152|DOI:https://doi.org/10.1145/2487575.2487695
EI
Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

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

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments