A8- Edge Bundling

A8- Nodelink w/ force

This interactive visualization displays a Bitcoin transaction network as a node-link diagram with force-directed layout. Nodes represent transaction addresses, and links show transactions with stroke width proportional to transaction weight. The network is rendered as SVG circles and lines, animated through a physics simulation using `d3.forceSimulation` with `forceLink`, `forceManyBody`, and `forceCenter` forces. Node drag interaction and a hover tooltip showing node ID and total weight are implemented. Data is loaded from a remote CSV file.

88% match

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

A8- Adj Matrix

This example renders an adjacency matrix from a bitcoin transaction dataset loaded via `d3.csv`. Each cell represents a connection between two nodes, with transparency indicating the presence of a link and blue fill for edges. The visualization uses D3 v7 with SVG `rect` elements, computing the matrix from unique node pairs. Hovering triggers a `mouseover` event, turning cells red and displaying the edge weight in a temporary HTML tooltip appended to the body.

A8 - Graph Visualization in D3

This example presents a graph visualization as a series of four interactive demonstrations. It first shows a node-link diagram using a force-directed layout, then compares it to an adjacency matrix representation. The visualization then implements edge-bundling for the node-link diagram and concludes with a slider that allows users to modulate the amount of tension in the edge bundling. The examples use D3.js and are embedded from VizHub, with each part linked to its source code.

DDuc Pham

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.

A8- Adjacency Matrix

This example visualizes Bitcoin transaction data as an adjacency matrix, where each cell represents the connection weight between two nodes. The SVG rendering uses colored rectangles—darker blue indicates higher transaction weights, while gray represents no connection, with logarithmic scaling applied to the color intensity. The code loads CSV data via `d3.csv`, builds a symmetric matrix for the undirected graph, and renders rows and columns using D3 data joins. Hovering a cell triggers a CSS transition that scales and highlights it, and node labels appear along both axes. The implementation relies on D3 v7 selection methods and SVG transformations, with no external layout algorithms.

A8 - Node-Link with Force Directed Layout

This visualization shows the Advogato social network’s 1,000-member connection structure as a node-link diagram, with gray lines representing edges and green circles for nodes. Using D3 v7’s `d3.forceSimulation`, it applies `forceManyBody` for repulsion, `forceLink` for edge spacing, and `forceCenter` for layout, updating positions via the simulation’s tick event. The SVG renders at 3500×2500 pixels, requiring zoom or scroll to view fully, and loads data from a CSV in the Network Data Repository.

AAndrew Blakeslee Moore

77% match