Network Experimentation at Scale

@article{Karrer2020NetworkEA,
  title={Network Experimentation at Scale},
  author={Brian Karrer and Liang Shi and Monica Bhole and Matt Goldman and Tyrone Palmer and Charlie Gelman and Mikael Konutgan and Feng Sun},
  journal={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
  year={2020}
}
  • B. KarrerLiang Shi Feng Sun
  • Published 15 December 2020
  • Computer Science, Economics
  • Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
We describe our network experimentation framework, deployed at Facebook, which accounts for interference between experimental units. We document this system, including the design and estimation procedures, and detail insights we have gained from the many experiments that have used this system at scale. In our estimation procedure, we introduce a cluster-based regression adjustment that substantially improves precision for estimating global treatment effects, as well as a procedure to test for… 

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