In this episode, we'll discuss what network effects are, how they introduce challenges in the standard A/B testing framework, and how the cluster experimentation method can be leveraged to address these challenges. We will also delve into the technical details of how clusters can be generated, and evaluated, and the associated trade-offs that need to be considered.

Based on their published tech blog, with the link provided here for your reference: https://medium.com/@AnalyticsAtMeta/how-meta-tests-products-with-strong-network-effects-96003a056c2c