Graph Snapshot
Graph Snapshot is a job implementation within the Cortex platform designed to process and analyze network graph data. It operates on the Cortex side to generate scoped subgraphs, which are focused views of the broader network topology. The system accepts raw network data alongside specific scope parameters, allowing for the extraction of relevant subsets based on defined criteria.
The job processes input data by applying filters derived from stakeholder context, analytical boundaries, or domain-specific requirements. These filters determine which entities and relationships are included in the final output, ensuring that the resulting graph remains manageable and relevant to the specific use case. By isolating these subsets, the platform can perform targeted analysis without the computational overhead of processing the entire network.
In addition to filtering, the Graph Snapshot job scores nodes and edges within the generated subgraphs. This scoring mechanism assigns quantitative values to graph elements based on their significance or connectivity within the scoped context. The resulting scored subgraphs provide a structured representation of network dynamics, facilitating downstream tasks such as anomaly detection, influence analysis, or resource allocation.
Source Notes
- 2026-04-27: Git