Design and analysis of experiments in networks: Reducing bias from interference · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1404.7530/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTDesign and analysis of experiments in networks: Reducing bias from interference — mentioned by pougetjhttps://news.ycombinator.com/item?id=15484861urn:hackerpapers:mention:1404.7530:15484861Mon, 16 Oct 2017 17:12:25 GMT<p>I&#x27;m currently in the process of getting my phd on this exact topic and I&#x27;m always happy to hear the problem of network interference in A/B tests being tackled at more and more tech companies. Here&#x27;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&#x27;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&#x27;m aware of…</p><p><a href="https://hackerpaper.kaipfister.de/p/1404.7530/">Paper and discussion history</a>. A mention is not an endorsement.</p>stat.ME