Fork of Force Directed Graph

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.

94% match

Fork of Force Directed Graph

94% match

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 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.

Fork of Force Directed Graph

This visualization pairs a force-directed graph with an adjacency matrix of the same network, using d3.forceSimulation, d3.forceLink, and d3.drag to lay out and interact with nodes. Clicking a node highlights its corresponding row and column in the matrix, while the graph’s links are drawn as semi-transparent lines with widths proportional to edge value. The code loads edge data from a CSV file and maps node groups to a fixed color palette, with both views rendered as SVG.

Fork of Force Directed Graph

This example pairs an interactive force-directed node-link diagram with an adjacency matrix view of the same network data. Dragging nodes in the force simulation or clicking matrix cells highlights corresponding rows, columns, and links in both views. The code uses `d3.forceSimulation` with `forceLink` and `forceManyBody`, and renders as SVG with zoom support. The matrix cells encode link weights through fill opacity, while the node-link view reads edge data from the `infect-dublin.edges` dataset.

Jjas0821

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.

92% match