The author introduces a theory of time-varying data structures using narratives as sheaves on intervals of time, providing a consistent and general framework for analyzing dynamic systems.
The author proposes a new framework to redefine event types and group evolution, focusing on archetypes and facets to provide a richer characterization of dynamics.