Nodes and edges arranged by simulated forces. Reveals clusters and hubs.
A free, animated force-directed network you can read here or embed on any website, from Scrollchart.
Force-Directed Network
A force-directed network positions nodes and draws edges between them so that connected nodes pull together while all nodes repel each other. The equilibrium layout organizes the graph into clusters: densely connected groups migrate close together while loosely connected outliers drift to the periphery. Hubs, nodes with many connections, are sized larger and colored distinctly so they stand out immediately.\n\nCommon applications include social network analysis (who knows whom), citation graphs (which papers cite each other), protein-protein interaction maps, and website hyperlink structures. The layout encodes relationship density, not any positional metric like time or magnitude.
Node position on the canvas has no quantitative meaning. The only data encoded visually are: (1) whether two nodes are connected (an edge exists between them), (2) node degree, visible through node size, and (3) cluster membership, implied by the proximity groupings the force simulation produces.\n\nFocus first on the largest nodes: they are the hubs with the most connections and often the most influential entities in the network. Then look for dense clusters of small nodes clumped together. Sparse edges crossing between clusters indicate bridges between otherwise separate communities. Isolated nodes with few edges appear at the fringes.
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Source & accuracy
This force-directed network is an editorial illustration built to represent the concept accurately. Where it shows figures, they are typical or representative values chosen to make the relationship clear, not a single underlying dataset. The diagram and its explainer are reviewed and maintained centrally, and updated over time as understanding improves.
Simulated forces reveal structure and clustering
A force-directed network layout uses simulated forces to arrange nodes and edges in space. Nodes are treated as repelling particles and edges as attracting springs. The algorithm iterates until the forces balance, producing a layout where connected nodes cluster together and unconnected ones spread apart. This layout is particularly effective because it emerges from the graph structure itself rather than being imposed by a rule, often revealing hidden communities and hubs that a human would miss.
Applications in knowledge mapping
Force-directed networks are used for social networks (finding friend clusters), citation networks (identifying influential papers), and knowledge graphs (mapping concepts and relationships). A node with many connections appears central because it pulls others toward it; peripheral nodes settle at the edges. The algorithm scales reasonably well for graphs with thousands of nodes and edges. One limitation is that layouts are not deterministic (running the algorithm again produces slight variations), and large networks can be difficult to read without interactive features like panning, zooming, or clicking to highlight neighborhoods.
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Reference
What this is
A free, embeddable, animated force-directed network for any website.
Who uses it
Data journalists, Researchers & academics, Content marketers, News organizations.
How to embed
Copy one line of HTML. No signup. No watermark. Works in WordPress, Webflow, Ghost, Substack, plain HTML.
File size
iframe embed, ~80 KB gzipped (loads on demand, does not block your page paint).
License
Free forever. Editorial explainer text included; updated centrally over time.
Copy the universal HTML snippet, the WordPress shortcode, or an iframe fallback -
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Frequently asked questions
Where can I get a free animated "Force-Directed Network" for my website?
Scrollchart provides "Force-Directed Network" as a free, embeddable animated diagram you can add to any website with one line of HTML. No signup is required and there is no watermark. The diagram and its explainer text are served from scrollchart.com, so the embed stays current without any maintenance on your end.
How do I embed a force-directed network in a blog post or article?
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