Knowledge Map Experiment

D3 Force Simulation

A force-directed network layout visualizes 100 nodes and 300 random links, rendered as circles and lines in an SVG canvas. The example uses D3 v4’s `d3.forceSimulation` with `forceCenter`, `forceManyBody`, `forceLink`, and `forceCollide` forces to compute positions. Nodes are draggable via `d3.drag`, which updates fixed positions (`fx`, `fy`) during interaction. The animation updates node coordinates and link endpoints on each simulation tick.

80% match

D3 Force Simulation

A force-directed network of 100 nodes and 300 randomly generated links settles into a stable layout under a centering force, many-body repulsion, link distance constraints, and collision avoidance. The visualization uses D3 v4's `d3.forceSimulation` with `d3.forceCenter`, `d3.forceManyBody`, `d3.forceLink`, and `d3.forceCollide` to animate the physics, while nodes are draggable via D3's drag interaction. The simulation updates an SVG canvas on each tick, redrawing lines and circles as positions change. The random data is generated programmatically, creating an abstract, interactive demonstration of force-based layout.

80% match

Experimentation 2

This example shows a minimal force-directed graph with three nodes and two links, rendered as circles and lines in an SVG container. The d3.forceSimulation API applies forces including forceManyBody, forceLink, and forceCenter to position the nodes, while a tick event updates the circle and line coordinates. The visualization uses D3 v6 within a React framework and draws directly to SVG elements with hardcoded data for users Alice, Bob, and Carol.

Ttkcj0912

D3 Force-Directed Graph

This example demonstrates a force-directed network layout, visualizing a small set of nodes and their connections with interactive dragging. The graph dynamically arranges connected circles using a physics simulation, cleanly separating linked nodes while repelling them from one another. The visualization is built with D3 v7, using `d3.forceSimulation` together with its `forceLink`, `forceManyBody`, and `forceCenter` components. The SVG output renders nodes as circles with labels and edges as straight lines, with positions updated on each simulation tick. The code also includes a guard that filters out any edges referencing non-existent nodes, ensuring the structure remains valid.

KKhanin Sisaengsuwanchai

D3 Force Simulation

A force-directed network visualization shows 100 nodes and 300 random links in a 400-by-400 SVG canvas. The layout uses D3 v4’s `d3.forceSimulation` with `forceCenter`, `forceManyBody`, `forceLink`, and `forceCollide` to position and repel elements. Nodes render as steelblue circles, links as gray lines, and drag behavior lets users reposition nodes through `d3.drag`. The simulation updates node and link coordinates on every tick via the `ticked` function.

D3 Example

This example demonstrates a basic force-directed network graph with three nodes and two links, rendered as SVG circles. The visualization uses `d3.forceSimulation` with `forceManyBody`, `forceLink`, and `forceCenter` forces to position the nodes, while a tick event updates each circle’s `cx` attribute based on the simulated x-coordinates. The code defines nodes and links as static arrays, with positions calculated entirely by the physics simulation. The example relies on D3 v6 and selects an SVG container by ID, but the script tag references a missing `bundle.js` file, so the simulation may not execute in practice.

Ttgu007

D3 Force Simulation

This example displays a static force-directed network of 100 circles and 100 randomly generated links on an SVG canvas, using D3 v4. Nodes are positioned randomly and rendered as steelblue circles, while links are implied but never drawn, so the visualization focuses solely on node placement. The code prepares data structures for a force simulation but does not call d3.forceSimulation, leaving the layout in its initial random state.