Gist 0bb5514393bdd878235e51ed2fdd3724

Gist bf027117c9b0bdfb633414ab5bd84877

This example visualizes a network of file and folder connections from a Gist repository, using a force-directed graph layout to reveal clustering and link patterns. The code employs D3.js’s `d3.forceSimulation` with `forceLink` and `forceManyBody` to position nodes, while SVG paths and circles render the edges and vertices. A drop-down menu lets users filter the displayed links by type, and the visualization includes a legend and hover tooltips. The underlying data is hardcoded as a JavaScript array of node and link objects, reflecting the structure of a GitHub Gist.

82% match

Gist f0e5d88500fd76302d5a1b9ad07b6ae1

This visualization shows a force-directed network graph of file dependencies, where each node represents a file and links connect related components. The layout uses d3.forceSimulation with custom collision and charge forces to position nodes, while link opacity encodes connection strength. The rendering relies on Canvas 2D drawing with getImageData for pixel-level hover detection. The data comes from a static list of file paths, including Microsoft.Mashup.OleDb.1 and Montego.OleDb.1, with edge weights derived from shared prefixes. The code also uses transition.attrTween to animate node positions smoothly when the layout stabilizes.

HHugoberry

81% match

Gist f867f21cc0dbe672f0d10ab163876c38

This example shows a force-directed network visualization built with D3.js, rendering connections between GitHub repository nodes. It uses d3.forceSimulation with charge, link, and center forces to position the nodes, while links are drawn as SVG paths. The visualization reads repository and relationship data from a gist, with each node colored and labeled based on its source repository. Hovering highlights connected links and neighbor nodes, with a zoom and pan interface via d3.zoom for exploring the graph.

79% match

Gist f8b83c150e82b21c7d6fcadc802fb986

This example visualizes a network of interconnected nodes and links, revealing the structure of a graph through spatial clustering and connective pathways. It uses a force-directed layout powered by `d3.forceSimulation` to position nodes, with `d3.drag` enabling interactive repositioning. The rendering relies on SVG elements for both nodes and links, with node fill colors and radii encoding categorical data and degree. The underlying dataset is a static JSON structure of nodes and edges, drawn using standard SVG `circle` and `line` primitives within a responsive viewBox.

PPeleke

79% match

Gist 27a5dee7d902d2ab3cf1281921ece401

This example visualizes a network of hyperlinks and page relationships extracted from a GitHub gist, mapping connections between referenced URLs and the gist itself. The code uses d3.forceSimulation to position nodes and d3.select plus SVG paths to draw curved links, with link opacity and node radius encoding connection strength and degree. The data is hardcoded as an array of source-target pairs, including links to resources like Cygwin and apt-cyg documentation. A drag handler enables interactive repositioning of nodes, while the simulation’s tick function updates the graph in real time.

Gist 97384

This example visualizes a force-directed network graph where nodes and links are rendered as animated dots and lines. It uses d3.forceSimulation to compute node positions and d3.line to draw the connections, with the entire scene updated on each simulation tick. The code pulls node coordinates from the simulation and redraws SVG elements, showing how real-time physics-based layout can be paired with D3’s data-binding for interactive node-link diagrams.

CCaged

Gist 3e83522b4fd1d103c56977dac9442a3e

This example visualizes a force-directed network graph, showing nodes and edges arranged in a cluster layout. It uses D3’s `d3.forceSimulation` to compute node positions and `d3.forceLink` for edge constraints, rendering the result as an SVG. The graph data is generated locally in the code via a helper function that builds node and link arrays, with node colors reflecting a categorical scale. The visualization updates positions on each simulation tick, producing an interactive, animated network layout.

Gist e899f735aa7a47c42f7b2604c713bfef

This example visualizes a force-directed graph using D3’s `d3.forceSimulation` to position nodes, with links drawn as SVG lines. The rendering approach uses Canvas `getImageData` to sample pixel data for a custom background effect, while Three.js handles 3D-like sphere rendering for node highlights. The code reads node and edge data from an embedded JavaScript object, and the simulation runs continuously with a `tick` handler updating node positions. A dropdown menu lets users filter the graph by cluster, though the filtering logic only updates node visibility without altering the underlying simulation forces.

AAlexDaGr8