What is Community detection?
Verified 5 August 2026
In a coverage graph, communities correspond to discourses — groups of publishers and documents that cite each other and share vocabulary. Label propagation is the usual algorithm at scale, because it is near-linear.
The retrieval use is disambiguation. A term that means different things in different fields produces results spanning several communities; filtering to one keeps the agent inside a single discourse.
Common questions
What is Community detection?
Community detection partitions a graph into clusters of nodes that reference each other far more than the rest of the graph.
How does Community detection work in practice?
The retrieval use is disambiguation. A term that means different things in different fields produces results spanning several communities; filtering to one keeps the agent inside a single discourse.
See it working
The free tier is 10,000 requests a month with no card — enough to test any of this against your own queries.