Sigma Large Network (300 nodes)
Procedurally generated 300-node network with a tunable mix of community structure and random connectivity, demonstrating Sigma.js's WebGL renderer at the scale where SVG/Canvas-based graph libraries (D3 force, vis-network, cytoscape) start to lag visibly. Six planted communities
Template details
- chart
- network
- graph
- sigma
- sigmajs
- webgl
- large-graph
- performance
- scale
When to use this template
This visualization excels at revealing underlying community structures and connectivity patterns within large, complex networks. Analysts use it to quickly identify clusters, highly connected groups, or bridge nodes that link different parts of a system, especially when visual exploration of individual relationships is crucial at scale.
- Networks with hundreds to over a thousand nodes
- Data representing pairwise relationships between entities
- Datasets where community detection is a primary goal
- Graphs with varying densities of connections
- Data requiring interactive exploration of individual nodes and edges
- Unweighted or weighted networks focusing on structural insights