What Is It?
This model simulates how distributed observers with different interests collectively construct narratives around real-world phenomena in the Hollywood Hills / UCLA / Griffith Park area.
Inspired by realtime.earth (Guerin) and Narrative DNA (Bergquist / Corto / USC ETC).
How It Works
Observers (circles) wander the landscape carrying 14D interest vectors. Phenomena (pulsing diamonds) spawn at plausible locations. When K distinct observer types within range report on the same phenomenon, a narrative (pie-segmented hexagon) emerges. Colors show which observer types contributed; the number shows how many distinct types.
Narratives attract further observers, persist longer than phenomena, and reshape interests over time.
Phenomena Types
Things to Notice
Coverage gaps — areas with no observers where phenomena fade unseen.
Spatial clustering — observers congregate near active narratives, leaving other areas blind.
Observation range matters — too small and observers miss nearby events; too large and geography stops mattering.
Order Parameters
Richness — mean distinct observer-types per narrative
Cascade — fraction of observers engaged with ≥1 narrative
Echo — within-type / total sharing ratio
Coverage — fraction of phenomena generating ≥1 narrative
Half-life — mean age of active narratives
Diversity — Shannon entropy of observer interests
Live Stats
Model: Stephen Guerin (realtime.earth) × Yves Bergquist (Corto / USC ETC)
Built with Claude Code, Jan 2026