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Hi! This is a visualization I've always wanted but never quite found. It's a navigable map of the Wikipedia link graph structure, with search and shortest-path finding.Offline, I parsed the May 2026 English Wikipedia full-text dump into a directed graph, used cuGraph on a GPU to run PageRank, Leiden clustering, and ForceAtlas2 for the layout. I did some post processing to get rid of lingering overlapping nodes and rendered a tiled map of raster base images (using Skia) and JSON metadata. Tiles are bundled into PMTiles. The frontend is Deck.gl.Everything is hosted on Cloudflare. Search and shortest-path are served by a Rust backend in CF Containers which uses Tantivy and bidirectional BFS.Happy to answer any questions!
Comments (5)
what data structure backs the shortest path queries?
Visual noise drowns out any usefulness. Typography is a missed opportunity.
fonts need work. shortest path feature is just a fancy way to lose track of time
what'd you use for the graph storage and shortest path calculations? bfs on that dataset must be heavy
neo4j under the hood? what's the latency on those shortest path queries
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