Sigma.js Layout Integration

Functional Overview

This example demonstrates integration of Sigma.js graph rendering library with relation-graph. Sigma provides WebGL-accelerated rendering for large graphs and includes powerful layout algorithms optimized for performance.

Implementation of Key Features

Sigma Integration

import Graph from 'graphology';
import { circular, random } from 'graphology-layout';

const applySigmaLayout = () => {
    // Create graphology instance
    const graph = new Graph();

    // Add nodes
    graphInstance.getNodes().forEach(node => {
        graph.addNode(node.id, { x: node.x, y: node.y });
    });

    // Add edges
    graphInstance.getLines().forEach(line => {
        graph.addEdge(line.from, line.to);
    });

    // Apply circular layout
    circular.assign(graph);

    // Apply positions back to relation-graph
    graph.forEachNode((nodeId, attrs) => {
        graphInstance.updateNode(nodeId, {
            x: attrs.x,
            y: attrs.y
        });
    });
};

Large Graph Performance

const handleLargeGraph = () => {
    // Sigma optimized for 1000+ nodes
    const graph = new Graph();

    // Use WebGL renderer for better performance
    const settings = {
        nodeReducer: (node, data) => ({
            ...data,
            size: nodeSizeScale(node),
            color: nodeColorScale(node)
        })
    };
};

Creative Use Cases

Large Networks: Visualize networks with 1000+ nodes.

Performance Optimization: WebGL-accelerated rendering.

Social Networks: Handle massive social graphs.

Web Analytics: Real-time traffic visualization.

Biological Networks: Large protein interaction networks.