Build force-directed network graphs with automatic community detection, node clustering, and interactive exploration for complex relationship datasets.
Build a force-directed network graph for [DATASET] with [NODE_COUNT] nodes. Apply Louvain community detection for auto-coloring. Size by centrality, opacity by weight. Features: search highlight, ego network on click, metadata tooltips, subgraph export. Render with WebGL.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5.
Replace [DATASET] with your network data source, [NODE_COUNT] and [EDGE_COUNT] with approximate counts, and [CENTRALITY_METRIC] with preferred sizing. Provide data in edge list CSV format.
Initial release
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