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Abstract

The disclosed embodiments provide a method and system for performing network A/B testing. During operation, the system obtains, for a set of users in a social network, a set of treatment assignments of the users in an A/B test, wherein the treatment assignments indicate exposure of the users to a control version or a treatment version of a message. Next, the system obtains, for each of the users, a fraction of neighbors exposed to the treatment version in the A/B test. The system then applies a statistical model to the treatment assignments and the fraction of neighbors exposed to the treatment version to estimate an average treatment effect (ATE) for the set of users. Finally, the system selects, based on the ATE, a fraction of additional users in the social network for subsequent exposure to the treatment version and presents the treatment version to the fraction of additional users.

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First Claim