The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference
冲突图设计:任意邻域干扰下的因果效应估计
A fundamental problem in network experiments is selecting an appropriate experimental design in order to precisely estimate a given causal effect of interest. In this work, we propose the Conflict Graph Design, a general approach for constructing experiment designs under network interference with the goal of precisely estimating a pre-specified causal effect. A central aspect of our approach is the notion of a conflict graph, which captures the fundamental unobservability…