Gist 484101

100%

✓ Published0🌍 Public

Last edited Jul 21, 2010

Created on Jul 21, 2010

This visualization shows an interactive network of interconnected nodes, with each node representing a person and links showing connections between them. It reveals the structure of social ties, likely from a GitHub collaboration graph, by grouping related clusters. The rendering uses a canvas-based `d3.forceSimulation` with custom collision and link forces to position nodes, while a custom `d3.geoPath`-style projection maps node positions onto a projected sphere. The code also employs Canvas `getImageData` to detect node boundaries for hover interactions, and uses `transition.attrTween` for smooth link animations. The underlying data is loaded from a Gist, and the visualization runs entirely client-side without external data files.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist a7d5ced57721ac3f7075bbbbaee32a49

This interactive visualization uses a force-directed simulation to animate a network of nodes and links, showing how connected elements cluster and repel. The code relies on D3’s `d3.forceSimulation` with custom forces for charge, centering, and collision, while link positions update via the simulation’s tick handler. Node rendering uses SVG circles, and the visualization reads its data from an embedded array of node and link objects, with no external data source. The interaction includes drag-and-drop support via D3’s drag behavior, letting viewers move nodes while the simulation continuously recalculates positions.

11wheel

85% match

Loading thumbnail…

Gist 8a97689739c217f28474d80c89013628

This visualization uses a force-directed graph to show relationships between entities, with nodes positioned by `d3.forceSimulation` and links drawn as curved paths. The code computes node sizes and colors from quantitative attributes, while a canvas overlay via `d3.geoPath` and `getImageData` samples pixel density to modulate link opacity based on local clustering. It employs a custom `transition.attrTween` to animate node drift when the simulation restarts, and uses the `d3.hierarchy` API to flatten nested data from a JSON file. The visualization reads credentials from an `env.list` file for a private data source, but the rendering logic is independent of that authentication step.

CConorAspell

85% match

Loading thumbnail…

Gist 6db8115f185f7e57cb4395da0474fbf6

This example presents an interactive visualization of a network graph, where nodes are connected by curved links and can be dragged by the user. The code builds the layout using `d3.forceSimulation` for physics-based positioning and renders the scene with `d3.select` and SVG elements, including `transition.attrTween` for smooth link animations. It reads a JSON dataset of node and edge data from an external file, and uses `d3.zoom` for panning and scaling the view. The visualization shows how force-directed algorithms distribute connected nodes while user input adjusts the simulation in real time.

11wheel

84% match

Loading thumbnail…

Gist f52706b726949be61205fcf8133a66e7

This example visualizes a dynamic network of interconnected nodes, showing how forces shape a cluster’s layout over time. It uses a force-directed simulation via `d3.forceSimulation` with charge, link, and collision forces to position nodes, while links are drawn as straight lines. The rendering relies on SVG paths updated each tick, and the code includes a custom drag interaction using `d3.drag` to let viewers manually reposition nodes. The underlying data structure is a small JavaScript array of objects representing nodes and links, likely sourced from a static inline dataset. The visualization emphasizes real-time interaction rather than geographic or spatial data, focusing on emergent clustering behavior.

11wheel

84% match

Loading thumbnail…

Gist 293439a97af26a64f8d588ca9e242fad

This visualization displays the network of contributors to a GitHub gist, showing each person as a node and their connections through shared contributions. It uses `d3.forceSimulation` to position the nodes and `d3.geoPath` for rendering, with a Canvas-based approach that leverages `getImageData` for pixel-level interactions. The graph highlights the contributor’s role through a boolean `isContributor` flag, and the layout dynamically responds to simulated forces. The data comes directly from the gist’s metadata, providing a structural overview of collaboration without additional external sources.

CColinEberhardt

83% match

Loading thumbnail…

Gist db32a113f546aa03b43c0e1f84f80d28

The visualization shows a force-directed network graph of GitHub gist data, with nodes representing individual gists and links showing relationships between them. It uses d3.forceSimulation to compute the layout, with node size encoding gist size and color indicating file type or language. The rendering relies on SVG elements updated per tick via the simulation’s tick event. The code loads a static JSON file containing preprocessed gist metadata, and does not use canvas or WebGL. The visualization highlights clustering patterns among related gists, revealing emergent communities in the dataset.

335degrees

82% match

Loading thumbnail…

Gist e7cd0d06da2caa59a162f8736d788999

This example visualizes a dynamic force-directed network graph, mapping relationships between interconnected nodes. It uses the D3.js library with `d3.forceSimulation` to calculate node positions and interactions, while rendering the graph on a canvas with `d3.geoPath` for styling. The code appears to fetch data from a gist file, then draws nodes as circles and links as lines, with a hover interaction that highlights connected elements. The visualization adapts to screen resizing and runs continuously, showing the simulation’s real-time updates as forces settle the layout.

AAnaMal08

82% match

Loading thumbnail…

MIT-License

This visualization uses a physics-based simulation to cluster and connect nodes in a network. It shows a dynamic system of points that repel each other while links pull them together, creating an organic, ever-shifting layout. The code leverages d3.forceSimulation to model the forces and d3.geoPath for rendering the curved edges. Built on a gist of public data, the example demonstrates real-time interaction with the simulation, offering a clear view of how force-directed algorithms explore spatial arrangements.

11wheel

81% match