We use data on a real, large-scale social network of 27 million individuals interacting daily, together with the day-by-day adoption of a new mobile service product, to inform, build and analyze data-driven simulations of the effectiveness of seeding (network targeting) strategies under...

This paper considers the design and analysis of networked experiments, which are rapidly becoming one of the most precise tools available for studying social behavior. As a result of digitization, the scale, scope and complexity of networked experiments has greatly expanded in recent years,...

Understanding peer influence in networks is critical to estimating product demand and diffusion, creating effective viral marketing, and designing ‘network interventions’ to promote positive social change. But several statistical challenges make it difficult to econometrically identify peer...