Vis Network Clustered Communities
Force-directed network where nodes are coloured by community (group) — vis-network's barnesHut physics naturally pulls same-group nodes toward each other so the colour clusters emerge spatially. Great for social-graph community detection, interest segments, and email-thread commu
Template details
- chart
- network
- graph
- visjs
- vis-network
- community
- clusters
- force-directed
When to use this template
It makes obvious the inherent groupings or communities within a network of interconnected entities. Analysts reach for it to understand the structural organization of relationships and to discover hidden clusters of nodes that share common attributes or stronger internal connections.
- Network data with distinct nodes and edges.
- Nodes possessing a categorical attribute for group assignment.
- Datasets where identifying natural clusters is the primary goal.
- Graphs with hundreds to several thousand nodes.
- Relational data where entities have known group affiliations.
- Data where spatial proximity of groups aids pattern recognition.