NETI Lab is home to research projects aimed at developing innovative mathematical models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems.
Adoption of new technologies is a complex social contagion phenomenon, where Individuals are influenced both by the media and by their social ties in their decision-making. These peer effects of adoption are especially apparent in the case of online platforms, where the utility of being part of it comes from the presence of other users. However, once a platform is widely diffused, these peer effects stabilize its position, until a sufficient share of users leave creating a cascade of churn.
In this project we analyze the diffusion and churn of the iWiW network, a social media platform that used to be very popular in Hungary, over its full life cycle (2002–2012).