220 lines
7.3 KiB
HTML
220 lines
7.3 KiB
HTML
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Neurameba Fractal Network</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #0a0a1a;
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color: #4a5568;
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font-family: 'Courier New', monospace;
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}
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#canvas {
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display: block;
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background: #0a0a1a;
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}
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#attribution {
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position: fixed;
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bottom: 10px;
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right: 10px;
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font-size: 10px;
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color: #4a5568;
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opacity: 0.6;
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pointer-events: none;
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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function resize() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resize);
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resize();
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// Configuration from parameters
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const params = {
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motion: 0.494,
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density: 0.491,
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complexity: 0.516,
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connectedness: 0.512,
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lifespan: 0.500,
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pulse: { avg: 1.00, min: 0.30, max: 2.00 },
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tone: {
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anger: 0.00,
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sadness: 0.00,
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curiosity: 0.30,
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dryness: 0.80,
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playfulness: 0.10,
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tension: 0.00
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}
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};
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// Network graph implementation
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class NetworkNode {
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constructor(x, y) {
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this.x = x;
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this.y = y;
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this.vx = (Math.random() - 0.5) * 2 * params.motion;
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this.vy = (Math.random() - 0.5) * 2 * params.motion;
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this.size = 1 + Math.random() * 2 * params.density;
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this.life = 0;
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this.maxLife = 100 + Math.random() * 100 * params.lifespan;
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this.connections = [];
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this.color = `hsl(180, ${70 + Math.random() * 20}%, ${30 + Math.random() * 20}%)`;
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}
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update() {
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this.x += this.vx;
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this.y += this.vy;
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// Boundary collision
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if (this.x < 0 || this.x > canvas.width) this.vx *= -1;
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if (this.y < 0 || this.y > canvas.height) this.vy *= -1;
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this.life++;
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if (this.life > this.maxLife) {
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this.life = this.maxLife;
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this.size *= 0.95;
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}
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// Decay connections
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this.connections = this.connections.filter(conn =>
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conn.node.life > conn.node.maxLife * 0.7 &&
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conn.node.size > 0.1
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);
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}
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draw() {
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const pulseFactor = params.pulse.min + (params.pulse.max - params.pulse.min) *
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(0.5 + 0.5 * Math.sin(Date.now() * 0.0005));
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ctx.globalAlpha = Math.min(this.life / this.maxLife, 1) * 0.9;
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ctx.fillStyle = this.color;
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ctx.beginPath();
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ctx.arc(this.x, this.y, this.size * pulseFactor, 0, Math.PI * 2);
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ctx.fill();
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ctx.globalAlpha = 1;
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// Draw connections
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ctx.strokeStyle = this.color;
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ctx.lineWidth = 0.5 * params.connectedness;
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for (const conn of this.connections) {
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if (conn.node.life > conn.node.maxLife * 0.7) {
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ctx.beginPath();
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ctx.moveTo(this.x, this.y);
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ctx.lineTo(conn.node.x, conn.node.y);
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ctx.stroke();
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}
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}
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}
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}
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class NetworkGraph {
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constructor() {
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this.nodes = [];
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const count = 100 + Math.floor(params.density * 150);
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this.maxNodes = count;
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for (let i = 0; i < count; i++) {
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this.nodes.push(new NetworkNode(
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Math.random() * canvas.width,
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Math.random() * canvas.height
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));
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}
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this.energy = 0;
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this.maxEnergy = 1000;
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}
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update() {
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// Create new nodes based on energy
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if (this.nodes.length < this.maxNodes && this.energy > this.maxEnergy * 0.8) {
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this.nodes.push(new NetworkNode(
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Math.random() * canvas.width,
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Math.random() * canvas.height
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));
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this.energy = 0;
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}
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// Update all nodes
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for (const node of this.nodes) {
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node.update();
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}
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// Update connections based on complexity and connectedness
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for (let i = 0; i < this.nodes.length; i++) {
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for (let j = i + 1; j < this.nodes.length; j++) {
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const a = this.nodes[i];
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const b = this.nodes[j];
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const dist = Math.sqrt((a.x - b.x) ** 2 + (a.y - b.y) ** 2);
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const maxDist = 200 - params.complexity * 150;
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if (dist < maxDist) {
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const strength = (1 - dist / maxDist) * params.connectedness;
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if (Math.random() < 0.01 * params.complexity * strength) {
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a.connections.push({ node: b, strength });
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b.connections.push({ node: a, strength });
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}
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}
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}
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}
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// Calculate energy based on network activity
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this.energy = this.nodes.reduce((sum, node) =>
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sum + node.connections.length * node.size, 0) / 10;
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}
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draw() {
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// Draw faint connections first
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ctx.globalAlpha = 0.3;
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for (const node of this.nodes) {
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for (const conn of node.connections) {
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if (conn.node.life > conn.node.maxLife * 0.5) {
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ctx.beginPath();
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ctx.moveTo(node.x, node.y);
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ctx.lineTo(conn.node.x, conn.node.y);
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ctx.stroke();
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}
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}
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}
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ctx.globalAlpha = 1;
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// Draw nodes
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for (const node of this.nodes) {
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node.draw();
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}
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}
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}
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const graph = new NetworkGraph();
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let lastTime = 0;
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function animate(time) {
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const deltaTime = time - lastTime;
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lastTime = time;
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// Clear with fade effect
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ctx.fillStyle = 'rgba(10, 10, 26, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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// Update and draw
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graph.update();
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graph.draw();
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requestAnimationFrame(animate);
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}
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requestAnimationFrame(animate);
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</script>
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</body>
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</html>
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