Madrid's transit data loaded into reactive knowledge graph system

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A developer tested .me, a reactive knowledge graph system, using Madrid's public transit (GTFS) data. The system loaded hundreds of thousands of data points like routes, trips, and stop times, establishing relationships between them. The experiment then applied thousands of simulated mutations to this dataset, representing changes to the transit network. This allowed the developer to measure how a change to one piece of data affects related knowledge within the graph, distinguishing between total data and impacted data.

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