Economic stories are usually presented as lines: one event causes another, one company affects an industry, one constraint changes a price. Economy Map starts from the idea that the underlying system is a graph with feedback, bottlenecks, missing edges, and relationships at several scales.
A self-similar global-economy graph with tools for centrality, communities, flow constraints, missing relationships, and AI-assisted public research.
The aim. Make economic systems explorable as linked mechanisms instead of disconnected headlines and statistics.
01The problem behind the project
Economic effects propagate through networks that are difficult to hold in a spreadsheet or narrative. A graph can make dependencies and research gaps explicit.
The graph is intended to be recursive. Industries contain firms and processes; processes depend on resources, infrastructure, labor, policy, and other industries. Research becomes the work of adding sourced relationships without rewarding the system for inventing a complete-looking world.
Researchers, analysts, students, and decision-makers may benefit. Firms and communities represented in the graph can be mischaracterized if weak sources become asserted facts.
02How it took shape
Neo4j, Python and LangGraph research flows, FastAPI, Celery, Redis, React, Cytoscape, graph algorithms, and a rule that missing evidence stays null rather than being fabricated.
The prototype combines Neo4j, Python and LangGraph research flows, FastAPI, Celery, Redis, React, Cytoscape, and algorithms for centrality, communities, flows, and missing relationships. Unknown values are meant to remain null rather than being filled by plausible language.
Josiah originated the recursive economy-map idea, specified the research and visualization behavior, and directed agent-assisted implementation.
Core application milestones and graph-analysis features were implemented in a working prototype.
03What the project means now
Economy Map is not a validated forecasting engine. Its contribution is a research interface for asking what a system depends on, where evidence is thin, and which relationships deserve investigation. A bounded public case study must demonstrate that reasoning without implying comprehensive economic truth.
The graph's conclusions are only as good as its sources, extraction, and coverage. It has not produced validated economic forecasts or comprehensive market truth.
A system becomes more trustworthy when it represents unknown edges explicitly instead of rewarding the agent for completing the picture.
Publish a bounded public dataset and one reproducible investigation that demonstrates both insight and uncertainty.