LAUSR

Numerous models in opinion dynamics focus on the temporal dynamics within a single spatial unit (e.g., country). While the opinions are often observed across multiple spatial units (e.g., polling stations) at a single point in time (e.g., elections). Aggregates of these observations, while quite useful in many applications, neglect the underlying spatial heterogeneity in opinions. To address this issue we build a simple compartmental agent-based model in which all agents have fixed opinions, but are able to change their compartments. We demonstrate that this model is able to generate compartmental rank-size distributions consistent with the empirical data.