A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing

Yuan Yuan
Corresponding Author
Yuan Yuan
[email protected]
https://orcid.org/0000-0001-6681-5710
Graduate School of Management, University of California, Davis, California 95616
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,
Kristen M. Altenburger
Kristen M. Altenburger
[email protected]
Meta Inc., Menlo Park, California 94025
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Corresponding Author

Yuan Yuan

[email protected]

https://orcid.org/0000-0001-6681-5710

Graduate School of Management, University of California, Davis, California 95616

Search for more papers by this author

,

Kristen M. Altenburger

Kristen M. Altenburger

[email protected]

Meta Inc., Menlo Park, California 94025

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Published Online:16 Sep 2025https://doi.org/10.1287/msom.2023.0462

Supplemental Material

msom.2023.0462.sm1.pdf

cover image Manufacturing & Service Operations Management

Volume 27, Issue 6

November-December 2025

Pages 1683-2035, iii

Article Information

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Received:August 17, 2023
Accepted:August 12, 2025
Published Online:September 16, 2025

Copyright © 2025, INFORMS

Cite as

Yuan Yuan, Kristen M. Altenburger (2025) A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing. Manufacturing & Service Operations Management 27(6):1832-1850.

https://doi.org/10.1287/msom.2023.0462

Keywords