canvas + drag + zoom + fixed nodes

Force layout on canvas with zoom/pan and drag

A force-directed network layout renders nodes and edges on a canvas with zoom, pan, and drag interactions. The visualization uses `d3.forceSimulation` to position nodes based on charge, link, and centering forces, while `d3.zoom` and `d3.drag` handle transformations and node fixation. Data comes from a local `data.json` file containing node IDs and links. Nodes are drawn as circles, with one node colored red via a custom `col` property, on a black background.

90% match

Force layout on canvas with zoom/pan and drag

A black canvas displays a force-directed network of small white nodes with red exceptions, connected by white edges. The example uses D3 v4 and d3-force v1, with d3.forceSimulation managing the layout. Users can pan, zoom, and drag nodes via d3.zoom and d3.drag, with all rendering performed directly on the canvas 2D context. Node positions update on each simulation tick, and the graph is drawn from a local data.json file.

90% match

Gist 125a08076cec47c50dcbbfd530c810b4

This example shows a force-directed simulation of a network, with nodes and links rendered on a canvas. The code uses d3.forceSimulation to compute node positions and d3.drag for interactive movement, while drawing the graph via Canvas 2D API calls. The visualization also includes a color legend and node labels, though the underlying data appears to be generated programmatically rather than loaded from an external file. A time-based animation updates the layout continuously, and the interface allows zooming and panning through d3.zoom.

SSohojoe

84% match

Force-Directed Graph with Drag/Zoom/Pan/Center/Resize/Labels/Shapes/Filter/Highlight

This interactive force-directed graph displays network data with draggable nodes, zoom and pan controls, and double-click-to-center functionality. Nodes vary in size, shape, and color based on properties like score and type, with text labels that avoid occlusion. The visualization supports filtering by node shape, score, and link strength, plus hover highlighting of first-order neighborhoods and click-to-fade effects. Built with D3 v3, it uses d3.layout.force for simulation and d3.behavior.zoom, rendering as SVG with data loaded from a JSON file.

82% match

zoomable, draggable force layout with labels

This interactive force-directed graph displays ten labeled nodes (A through J) connected by links, with Font Awesome icons as labels overlaid on colored circles. The layout uses D3 v4’s `d3.forceSimulation` for physics-based positioning, combined with `d3.drag` for node dragging and `d3.zoom` for canvas zoom and pan. Node positions are bounded within the SVG viewport, and an HTML slider controller adjusts an external value. The black background, custom fonts, and Bootstrap controls frame the visualization, which reads node and edge data from a local `data.json` file.

Canvas Force Tutorial

This example demonstrates a force-directed network graph of social connections, rendered on a Canvas element using D3 v5’s `forceSimulation` API. It shows nodes (people) connected by weighted links, with positions updated each tick via `update()`. The simulation applies `forceManyBody`, `forceLink`, `forceCollide`, and `forceX`/`forceY` forces to arrange the graph, reading node and edge data from a CSV file.

RRubens

Force Layout with Canvas

This example shows a force-directed graph rendered on a canvas element instead of in SVG, using d3.layout.force to compute the layout and the Canvas 2D API’s `getContext` and `arc` for drawing. The graph loads node and link data from a local `graph.json` file, with nodes drawn as steelblue circles and links as gray lines. The simulation runs continuously, updating the canvas on each tick event by clearing the frame and redrawing the nodes and links. Unlike the SVG version, nodes are not draggable, but the canvas approach offers modest performance improvements.

Mmbostock

Fork of Canvas Force Tutorial

This example shows a force-directed network graph rendered on a Canvas element using d3 v5. Nodes and links are drawn as circles and straight lines, positioned by a d3.forceSimulation with forceX, forceY, forceCollide, forceManyBody, and forceLink forces. The graph loads its edge list from a CSV file (data.csv), which contains source, target, and weight fields, and updates the visualization on each simulation tick via the canvas 2D context.

Ssalwa191