A8 - Graph Visualization in D3

A8 - Edge Bundling in D3

This example demonstrates edge bundling for a network graph using D3.js within a React framework. It visualizes hierarchical data connections as curved, bundled paths that reduce visual clutter. The code employs D3’s force-directed simulation (`d3.forceSimulation`) to position nodes and `path` elements with Bézier curves to draw the edges. The rendering relies on SVG, with the graph’s structure defined in a local data file. The visualization showcases how edge bundling can clarify complex relationships in interconnected datasets.

RRiya Mathur

83% match

A8 - node-link diagram for another dataset

This example presents a node-link diagram of a large directed graph, using a force-directed layout to position nodes and edges. The visualization highlights the network’s structure, with orange circular nodes and gray links, and includes interactive tooltips that display node IDs on hover. The code relies on D3 v7’s `d3.forceSimulation`, `d3.forceManyBody`, and `d3.forceLink` to compute the layout, while rendering via SVG elements (`circle` and `line`). Data is loaded as CSV from a GitHub gist, with edges defined by source and target node columns.

83% match

Rragregory@dons.usfca.edu

A8 -D3 Edge Bundling

This example visualizes a network of nodes and edges using a force-directed layout, with the data sourced from a CSV file containing node and edge information. The visualization shows the interconnected structure of the network, where each node is represented by a circle and each edge by a line, with the spatial arrangement determined by the simulated physical forces. The code uses D3 v6 utilities such as `d3.forceSimulation`, `d3.forceLink`, and `d3.forceManyBody` to perform the simulation, while also incorporating `d3.drag` for interactive node manipulation, and the SVG rendering is handled by `d3.select` and `svg.append`. The node and edge elements are styled with CSS classes, and the graph is displayed within an SVG container sized at 1280 by 800 pixels.

A8 - node-link diagram with force-directed layout

This example shows a force-directed node-link diagram of the Zachary Karate Club social network, with orange nodes and gray edges. It uses the D3 forceSimulation API to compute the layout through charge, link, and center forces, updating the SVG positions on each tick. Node labels appear in a tooltip on mouseover, built with D3’s selection and transition API. The graph renders as an SVG with animation, driven by the react framework, and the data is loaded from a remote CSV file.

A8 - Edge Bundling with a Slider

This example visualizes edge bundling for the node-link diagram of the Zachary Karate Club dataset, rendered as an SVG with circular node labels and bubbles. A slider titled “Edge Bundling Tension” adjusts the curve interpolation in real time, updating the paths via `d3.curveBundle.beta()` as the user drags it. The code uses `d3.cluster()` for hierarchical layout, `d3.radialLine()` for curved links, and `d3.scaleLinear()` to map node values to bubble radii. Data is loaded as JSON from a GitHub gist.

A8 - Node-link diagram with force-directed layout

This example displays a food network as a node-link diagram with a force-directed layout. It uses D3.js v7's `d3.forceSimulation` with link, charge, and center forces to position nodes and edges. Node interactions include hover effects that enlarge circles and reveal a tooltip with the node ID. Data is loaded from a CSV file via `d3.csv`, and the visualization is rendered as animated SVG elements.

SShazil Taqi

A8 - edge-bundling for the node-link diagram

This example uses D3.js v4 to create a radial edge-bundling diagram from a JSON dataset representing the Karate Club social network. The visualization displays nodes as labeled bubbles arranged in a circular hierarchy, with curved links that bundle together to reveal community structure. The code leverages `d3.radialLine` with `d3.curveBundle.beta(0.9)` for the bundled edges, `d3.cluster` for hierarchical layout, and custom SVG rendering with circles, text labels, and paths. The data is fetched from a GitHub gist, and links are derived from node import relationships.

80% match