Force-Directed Network Graph

force_directed_with_t

This force-directed graph visualizes a network of approximately 200 nodes and their connections, with node coordinates loaded from CSV data and edges defined in a separate file. The visualization uses a physics-based layout where nodes are positioned through simulated forces and rendered as a web of links. The graph is built with the MIT-licensed code by ByronHan333, sourced from a gist, and demonstrates a classic force-directed layout approach where node positions are determined by the balance of attractive and repulsive forces between connected and unconnected nodes.

BByronHan333

Force-Directed Graph V2

This force-directed graph maps a network of arts organizations and their related projects, with nodes grouped into four color-coded clusters and connected by weighted links. The visualization uses D3’s `forceSimulation` with `forceManyBody`, `forceLink`, and `forceCenter` to position nodes, while a drag interaction lets users move nodes and restart the simulation. Node sizes vary by hierarchy level, and labels appear directly on nodes as SVG text. Data is generated programmatically in `data.js`, with link distances and node styling defined per connection.

Sschneich

Network Graph

A force-directed network graph visualizes social connections among ten people, with labeled nodes and directed, arrowed links. Node size reflects connection strength through link thickness, and hovering highlights a node. The example uses D3 v6’s `d3.forceSimulation`, `d3.forceLink`, `d3.forceManyBody`, `d3.forceCollide`, and `d3.forceCenter` to position elements, rendering in SVG. Data comes from `graph.json` and includes relationship types and values. Interactive dragging is implemented via `d3.drag`.

Iindushashi.g@gmail.com

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

Force-Directed Graph

A force-directed graph displays 13 nodes and 18 links, using a physical simulation to position the circles and lines in an organic, interconnected layout. The D3 v3 code constructs an SVG scene with `d3.layout.force`, applying a negative charge to repel nodes and a tick handler to update the `x`, `y`, `cx`, and `cy` attributes of the line and circle elements. The graph’s structure is defined by a hard-coded nodes array and links array, representing an abstract network for the visualization.

Mmbostock

Gist ad2220ac28db7651ecc78c969d6711ae

This example visualizes a force-directed network graph, showing the connections between nodes as a dynamic, interactive layout. The graph uses D3.js’s `d3.forceSimulation` to calculate node positions and link forces, while rendering the network with SVG elements and dashed path links. Node drag behavior is implemented via `d3.drag`, and transitions are animated using `transition.attrTween` to smoothly update link positions as the simulation runs. The data appears to be a small set of fictional or synthetic nodes and edges, drawn in a circular arrangement.

AAnaMal08

Force Directed Graph

A force-directed graph of 410 connected nodes is shown alongside an adjacency matrix, letting users explore network structure through either view. Clicking a node in the graph highlights its row and column in the matrix, while clicking a matrix cell highlights the corresponding link. The layout uses d3.forceSimulation with forceLink and forceManyBody, rendered as SVG circles and lines, with a zoom transform applied to both. The adjacency matrix is built from the same edge data, and hover effects use dynamically updated stroke colors and widths.

Aa04775

Force

This example visualizes a social network from the Caltech36 dataset, representing individuals as nodes and their connections as links in a force-directed graph. Node colors are assigned using a sequential rainbow scale based on index, and the layout is computed with d3.forceSimulation, incorporating many-body, center, and link forces. The SVG rendering updates positions on each tick, showing clusters and relationships within the network data loaded via d3.json.

Vvivianaaai@qq.com