The Effect of Alter Ego Accounts on A/B Tests for Social Networks

This repo contains the code for our work on A/B testing in networks with non-cooperative behavior.

Run the Experiments

REPLICATION.md contains installation, configuration, and run instructions for experiments in the paper.

Overview

Given a network graph and simulation parameters identified in a configuration file,

• Cluster-randomized treatment assignment
• Non-cooperative participant network set construction
• Outcome simulation per n alter egos up to dominating set
• Model fit and outcome estimation with linear estimator
• Bias calculation in sample

Experiment Configs

Options:

• Network structure for A/B test
• Alter ego network placement (random, greedy)
• Outcome simulation parameters

More information is provided in this README.

Network Graph Resources

We provide some existing graph structures for the experiments:

• Synthetic Corpus: We provide a corpus of graph types used for the simulation studies in the paper, generated under the same set of parameters.
• Real-World: We use networks released in the SNAP Library.

Alternatively, run the scripts used to generate graphs in the corpus to generate new graphs. More details at this README.