Influence in Transient Populations

In this work we explore a simple influence problem using a novel variation of the Bounded Confidence Model (BCM) of opinion dynamics that can be applied to varying types of social media platforms with transient user populations. Via simulation-based analyses, we set out to understand the extent to which the opinions of a transient population that divides their attention across multiple channels is either more or less susceptible to progressively more extreme opinions.