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Barabási–Albert Network Model Visualization

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Barabási–Albert Network Model Visualization

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CCurran Kelleher
Last edited Jun 17, 2025
Created on Jun 17, 2025

This visualization shows the Barabási–Albert network model growing in real time through preferential attachment, where new nodes connect to existing nodes with probability proportional to their degree. The animation adds a node every 500 milliseconds, building a scale-free network from two initial connected nodes. The force-directed layout is implemented using D3.js v7 with d3.forceSimulation, d3.forceLink, and d3.forceManyBody, rendering nodes as SVG circles that can be dragged. Each new node is positioned randomly within the 960×960 coordinate space, and the simulation restarts with increased alpha after each addition.

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