| I'm currently in the process of getting my phd on this exact topic and I'm always happy to hear the problem of network interference in A/B tests being tackled at more and more tech companies. Here's a small (incomplete) list of (mainly industrial) references to solutions to this problem. - Facebook data scientists have an extensive list of publications on the topic: [1][2]. (Dean Eckles is now at MIT). - LinkedIn's experimentation team has also published papers on the topic: [3][4] - Data scientists at Google have also worked on this topic. One external publication/collaboration I'm aware of is: [5] [1] http://www.pnas.org/content/113/27/7316 [2] https://arxiv.org/abs/1404.7530 [3] http://www.kdd.org/kdd2017/papers/view/detecting-network-eff... [4] https://dl.acm.org/citation.cfm?doid=2783258.2788602 [5] http://proceedings.mlr.press/v51/basse16b.pdf Disclaimer: this list is heavily biased by experiences I've had through collaborations/internships. I am an author on [3].
Edit: formatting. |