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In this paper we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference.
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[author] Aiello, Allison EA. E., Simanek, Amanda MA. M., Eisenberg, Marisa CM. C., Walsh, Alison RA. R., Davis, BrianB., Volz, ErikE., Cheng, CarolineC., Rainey, Jeanette JJ. J., Uzicanin, AmraA., Gao, HongjiangH. et al. (2016). Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial. Epidemics 15 38–55
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[author] Eckles, DeanD., Karrer, BrianB. and Ugander, JohanJ. (2017). Design and Analysis of Experiments in Networks: Reducing Bias from Interference. Journal of Causal Inference 5
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