Force Graph Maker — Create Interactive Network Graphs Online
Build and explore interactive force-directed graphs right in your browser. Add nodes and edges, watch the physics simulation arrange them naturally, drag to rearrange, zoom to explore, and export your visualization as SVG. All data stays in your browser — nothing leaves your device.
How to Create a Force Graph
- Add nodes — click "Add Node" to create entities in your network. Each node represents a person, concept, module, or any item you want to connect.
- Add edges — click "Add Edge" and select source and target nodes to define relationships between them.
- Explore the graph — drag any node to reposition it. The force simulation automatically adjusts the layout. Scroll to zoom and pan to navigate large networks.
- Toggle labels — show or hide node labels for a cleaner view or more detail.
- Export — download your network graph as an SVG image for presentations, documentation, or sharing.
Why Force-Directed Graphs Matter
Force-directed graph layouts use physics-based simulations to reveal the structure of complex networks. Connected nodes are attracted toward each other while all nodes repel, naturally clustering tightly-connected groups and separating unrelated parts. This makes hidden patterns visible without manual positioning.
Whether you're mapping social networks, visualizing software dependencies, building knowledge graphs, or exploring organizational structures, a force-directed graph helps you understand not just who connects to whom, but the overall topology of your network — the hubs, bridges, and isolated clusters that define how information, influence, or dependencies flow.
Frequently Asked Questions
A force-directed graph is a type of network visualization that uses a physics simulation to position nodes. Nodes connected by edges are pulled closer together, while all nodes push each other apart, resulting in an organic layout that reveals the network's structure.
Click and drag any node to reposition it. The force simulation will adjust other nodes accordingly. You can also zoom with the mouse wheel and pan by clicking and dragging the background.
Density measures how connected your graph is. It's the ratio of actual edges to the maximum possible edges. A density of 1.0 means every node connects to every other node, while a low density indicates a sparse network.
Force graphs are ideal for visualizing social networks, software dependency maps, knowledge graphs, organizational charts, citation networks, and any system where entities have relationships. They naturally reveal clusters, central nodes, and isolated groups.
Yes. Click the "Export SVG" button to download your graph as a scalable vector image. You can then embed it in documents, presentations, or websites, or edit it further in design tools like Figma or Illustrator.
Currently, edges are unweighted. You can represent different relationship strengths by adding multiple edges or by varying the visual thickness through custom styling in the exported SVG.
Use Cases for Force Graphs
Social Network Analysis
Map relationships between people, teams, or organizations to identify key influencers, communities, and communication patterns in social graphs.
Software Dependency Mapping
Visualize how modules, packages, or microservices depend on each other to understand architecture, identify circular dependencies, and spot potential breaking points.
Knowledge Graph Construction
Build concept maps showing how ideas, topics, and facts relate to each other for learning, research, content organization, or semantic web projects.
Organizational Structure Visualization
Map reporting relationships and team structures to understand hierarchy, collaboration patterns, and communication flow within organizations.