Sigma Degree-Centrality Heatmap
Random scale-free-ish network of 90 nodes laid out with ForceAtlas2 where each node's visual size and colour both encode its degree (number of connections). A linear blue→violet→red colour ramp maps the lowest-degree leaf nodes (1–2 edges) to deep blue and the highest-degree hub
Template details
- chart
- network
- graph
- sigma
- sigmajs
- webgl
- degree
- centrality
- scale-free
When to use this template
This visualization quickly highlights the most connected nodes in a network, making it easy to spot central hubs and peripheral components. Analysts use it to identify critical entities or influential actors within a system without needing complex centrality calculations, providing immediate insight into network structure.
- Undirected or directed graphs with clear node and edge lists.
- Networks where node connectivity (degree) is a primary interest.
- Datasets with a moderate number of nodes (e.g., 50-500) for visual clarity.
- Networks expected to exhibit a power-law or scale-free degree distribution.
- Data where identifying central or peripheral entities is the goal.