{"version":"1.0","type":"rich","title":"Barabási–Albert Network Model Visualization","description":"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.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/e50c2acc9daf45cc96ca58c48e6c7b18?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}