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Overview#
The Graph Analysis Engine domain provides access to pre-computed graph analysis results, including PageRank centrality scores, Louvain community detection, network motif patterns, and graph statistics. It exposes materialized views of complex graph computations for efficient querying without real-time graph traversal overhead.
Key Features#
- PageRank centrality scoring for identifying influential entities in the network
- Louvain community detection for discovering entity clusters and groups
- Network motif pattern identification (triangles, stars, chains, cycles, cliques)
- Graph statistics including node count, edge count, density, and modularity
- Entity search across the graph analysis results
- Pagination support for large result sets
- Periodic data refresh with configurable schedules per metric type
Use Cases#
- Identifying the most influential entities in a relationship network using centrality scores
- Discovering hidden communities and clusters within investigative data
- Detecting suspicious network patterns such as transaction cycles or hub-and-spoke structures
- Generating graph-level statistics for dashboard views and analytical reporting
Integration#
The Graph Analysis Engine domain integrates with Graph for visualization, Network for network analysis, Analytics for dashboard reporting, Entity for entity management, and Relationship for connection data.
Last Reviewed: 2026-02-09