2.1k citations · 5.5k across the 24 of their papers we have counts for
4 papers · 1 filter
Network experimentation at scale
Brian Karrer, Liang Shi, Monica Bhole +5
We describe our framework, deployed at Facebook, that accounts for interference between experimental units through cluster-randomized experiments. We document this system, includin…
Graph cluster randomization: network exposure to multiple universes
Johan Ugander, Brian Karrer, Lars Backstrom +1
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…
The Anatomy of the Facebook Social Graph
Johan Ugander, Brian Karrer, Lars Backstrom +1
We study the structure of the social graph of active Facebook users, the largest social network ever analyzed. We compute numerous features of the graph including the number of use…
An efficient and principled method for detecting communities in networks
Brian Ball, Brian Karrer, M. E. J. Newman
A fundamental problem in the analysis of network data is the detection of network communities, groups of densely interconnected nodes, which may be overlapping or disjoint. Here we…