Sigma Citation Network (ForceAtlas2)
WebGL-rendered academic citation network of 80 papers across four research areas (machine learning, distributed systems, programming languages, computer graphics). Each node is a paper sized by total inbound citations, coloured by primary research area, and laid out by 100 iterat
Template details
- chart
- network
- graph
- sigma
- sigmajs
- webgl
- forceatlas2
- citation
- academic
When to use this template
This visualization excels at revealing the inherent community structure and influential nodes within a complex network. Analysts use it to identify dense clusters of related entities, locate bridging connections between distinct groups, and understand the overall topology of relationships.
- Datasets representing entities with directed relationships
- Networks with hundreds to a few thousand nodes
- Nodes possessing a quantitative metric for relative importance
- Nodes with a categorical attribute for group differentiation
- Exploring latent community structures and inter-group connections
- Data where spatial proximity implies stronger relationships