Visualize complex network relationships with interactive graph mapping and AI-enhanced pattern recognition
Real-time rendering of complex relationships with automatic node clustering using force-directed algorithms.
Context-aware suggestions and anomaly detection using machine learning for relationship pattern analysis.
Intuitive styling engine for color-coding, layout optimization, and visual hierarchy customization.
Uses graph neural networks to analyze and visualize complex systems with millions of interconnections.
High-performance visualization using GPU accelerated rendering for smooth zooming and panning.
Real-time update pipeline for dynamic datasets with sub-second latency between updates.
import { Entangle } from 'entanglevis'
const network = new Entangle({
container: 'graph-container',
graph: {
nodes: 10000,
edges: 75000,
layout: 'forceAtlas2',
clustering: true
}
})
network.on('hover', (data) => {
console.log('Active relationship:', data)
})
network.start()
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