d3-force-simulation

name	d3-force-simulation
description	D3.js force simulation for creating interactive bubble charts with clustering, collision detection, and physics-based positioning

D3.js Force Simulation

Overview

Force simulation in D3 uses physics-based algorithms to position nodes (bubbles) based on forces. Perfect for creating bubble charts with natural-looking clusters.

Core Concepts

1. Creating a Simulation

const simulation = d3.forceSimulation(nodes)
  .force("name", forceFunction)
  .on("tick", updatePositions);

// Start simulation (runs in background)
simulation.alpha(1);  // reset energy

2. Common Forces

forceX / forceY

Position bubbles toward target x/y coordinates (creates clustering):

// Group by sector - each sector gets target x position
const sectors = Array.from(new Set(data.map(d => d.sector)));
const sectorX = d3.scalePoint()
  .domain(sectors)
  .range([0, width]);

const simulation = d3.forceSimulation(nodes)
  .force("x", d3.forceX()
    .x(d => sectorX(d.sector))  // each sector pulled to its x position
    .strength(0.05)              // weak force (allows spreading)
  )
  .force("y", d3.forceY()
    .y(height / 2)               // all centered vertically
    .strength(0.03)
  );

forceCollide

Prevents bubbles from overlapping:

.force("collide", d3.forceCollide()
  .radius(d => radiusScale(d.marketCap) + 2)  // add padding
  .strength(0.5)  // collision strength (0-1)
)

forceManyBody

Repulsive or attractive force between all nodes:

.force("charge", d3.forceManyBody()
  .strength(-50)  // negative = repulsion, positive = attraction
)

3. Tick Events

Update positions on each simulation frame:

simulation.on("tick", () => {
  // Update circles
  circles
    .attr("cx", d => d.x)
    .attr("cy", d => d.y);

  // Update text
  labels
    .attr("x", d => d.x)
    .attr("y", d => d.y);
});

4. Preventing Bubbles from Moving Off-Screen

Fix nodes to boundaries:

simulation.on("tick", () => {
  nodes.forEach(d => {
    // Clamp positions within bounds
    d.x = Math.max(d.radius, Math.min(width - d.radius, d.x));
    d.y = Math.max(d.radius, Math.min(height - d.radius, d.y));
  });

  // Update positions
  circles.attr("cx", d => d.x).attr("cy", d => d.y);
});

5. Interactive Dragging

Allow users to drag nodes:

function drag(simulation) {
  return d3.drag()
    .on("start", (event, d) => {
      if (!event.active) simulation.alphaTarget(0.3).restart();
      d.fx = d.x;
      d.fy = d.y;
    })
    .on("drag", (event, d) => {
      d.fx = event.x;
      d.fy = event.y;
    })
    .on("end", (event, d) => {
      if (!event.active) simulation.alphaTarget(0);
      d.fx = null;
      d.fy = null;
    });
}

circles.call(drag(simulation));

Complete Example: Bubble Cluster Chart

// Setup
const nodes = data.map(d => ({
  id: d.ticker,
  sector: d.sector,
  value: d.marketCap,
  radius: Math.sqrt(d.marketCap / Math.PI)
}));

const width = 800, height = 600;

// Scales
const sectorX = d3.scalePoint()
  .domain(Array.from(new Set(data.map(d => d.sector))))
  .range([100, width - 100]);

const radiusScale = d3.scaleSqrt()
  .domain([0, d3.max(nodes, d => d.value)])
  .range([5, 50]);

const colorScale = d3.scaleOrdinal()
  .domain(Array.from(new Set(data.( d.))))
  .(d3.);


 simulation = d3.(nodes)
  .(, d3.().( (d.)).())
  .(, d3.().(height / ).())
  .(, d3.().( (d.) + ))
  .(, d3.().(-))
  .(,  {
    circles
      .(,  d.)
      .(,  d.);
  });


 svg = d3.().()
  .(, width).(, height);

 circles = svg.()
  .(nodes)
  .()
  .(,  (d.))
  .(,  (d.));

Performance Tips

• Use simulation.alphaMin(0.001) to stop simulation faster
• Reduce strength values for smoother settling
• Use radius in forceCollide matching actual visual radius
• Call simulation.stop() when not needed to save CPU