20 citations · 40 across the 8 of their papers we have counts for
3 papers · 1 filter
A Method for Measuring Network Effects of One-to-One Communication Features in Online A/B Tests
Guillaume Saint-Jacques, James Eric Sorenson, Nanyu Chen +1
A/B testing is an important decision making tool in product development because can provide an accurate estimate of the average treatment effect of a new features, which allows dev…
Using Ego-Clusters to Measure Network Effects at LinkedIn
Guillaume Saint-Jacques, Maneesh Varshney, Jeremy Simpson +1
A network effect is said to take place when a new feature not only impacts the people who receive it, but also other users of the platform, like their connections or the people who…
Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals
Craig Tutterow, Guillaume Saint-Jacques
Randomized experiments, or A/B tests are used to estimate the causal impact of a feature on the behavior of users by creating two parallel universes in which members are simultaneo…