Fork of Force Directed Graph

Fork of Force Directed Graph

This visualization combines a force-directed node-link diagram with an adjacency matrix to compare two representations of the same graph data. Clicking a node in the diagram highlights the corresponding row and column in the matrix, and clicking a matrix cell highlights the linked edge. The code uses D3 v6 with `d3.forceSimulation`, `d3.forceLink`, `drag`, and `zoom` for interactive layout, while rendering SVG elements for both views. The graph data is loaded from external CSV and edge files, with node colors mapped by group.

96% match

Fork of Force Directed Graph

This example presents a force-directed graph alongside its adjacency matrix, allowing for the exploration of network connections through two complementary views. Clicking a node in the graph highlights the corresponding row and column in the matrix, while clicking a matrix cell highlights the associated edge in the graph. The visualization uses d3.forceSimulation for layout, d3.forceLink for edge constraints, and d3.forceManyBody for repulsion, rendering with SVG. Nodes are colored by group and support drag interactions, while a d3.zoom transform enables panning and scaling. Data appears to be loaded from CSV or TSV sources.

EELBOUNIAmine

94% match

Fork of Force Directed Graph

This example pairs a force-directed node-link diagram with an adjacency matrix to visualize the same graph, letting users compare both representations. The node-link view uses `d3.forceSimulation` with `forceLink`, `forceManyBody`, and `forceCenter` to generate a network layout, where nodes are colored by group and are draggable via d3 drag. Clicking a node highlights its corresponding row and column links in the matrix, and vice versa; selecting a matrix cell highlights the matching network edge. The graph data comes from the infect-dublin edge list, and the visualization is built with reusable D3 v6 modules rendered in SVG.

Fork of Force Directed Graph

Fork of Force Directed Graph

The visualization pairs a node-link force-directed graph with an adjacency matrix view of the same network. The graph is computed using `d3.forceSimulation` with link, many-body, and center forces, while the matrix uses `rect` elements to encode edge weight via fill opacity. Clicking a node highlights its corresponding matrix row and column, and vice versa, with the selected cell emphasized in red. The implementation relies on the D3.js v6 API, including `d3.forceLink`, `d3.forceManyBody`, and custom drag and zoom interactions.

EELBOUNIAmine

Fork of Force Directed Graph

This visualization pairs a force-directed node-link diagram with an adjacency matrix for a Dublin contact network. Using `d3.forceSimulation`, `d3.forceLink`, `d3.forceManyBody`, and `d3.forceCenter`, it simulates node physics, while the matrix encodes link weights as cell opacity. Clicking a node or matrix cell highlights its row and column, and interactions support drag-and-drop and zoom via `d3.zoom` and custom drag handlers. Data comes from an edge list of weighted connections, rendered as SVG circles and lines.

Fork of Force Directed Graph

A fork of a force-directed graph compares node-link and adjacency-matrix views of a network. Clicking a node in the graph, or a cell in the matrix, highlights the corresponding row and column or links. The graph uses d3.forceSimulation with forceLink, forceManyBody, and forceCenter, while the matrix renders as SVG rectangles scaled by edge weight. Both views support zooming and dragging via d3.drag and d3.zoom, with node colors mapping to group values.

EELBOUNIAmine

92% match

Fork of Force Directed Graph

This example presents a node-link force-directed graph alongside its adjacency matrix representation, allowing users to explore connections between nodes. The graph uses d3.forceSimulation with forceLink, forceManyBody, and forceCenter to position nodes, while the matrix encodes edge weights as cell opacity. Clicking a node highlights its corresponding rows and columns in the matrix, and clicking matrix cells highlights the matching graph link. The implementation relies on d3.v6 with SVG rendering, and includes zoom and drag interactions. The data appears to come from a Dublin infection network, with nodes colored by group classification.