kcore

Generic Description

Find core numbers and dense nested cores.

Simple example:

CALL nexyron.kcore()

Structural diagnostic procedures find articulation points, bridges, cores, and other graph-shape features. They are useful for resilience, dependency risk, and graph cleaning.

Consumer-Level Explanation

Use kcore when find core numbers and dense nested cores is the graph-analysis or operational question you actually need to answer. Keep the call explicit because its YIELD columns, row grain, and required runtime state determine how the rest of the Cypher pipeline can safely compose it. These procedures identify structural risk or cohesion, but the result is only meaningful when the relationship type and direction match the real dependency being modeled.

Conceptual Explanation

kcore should be read as one named procedure contract in the broader Nexyron Cypher surface. The procedure call is not only a syntax hook: it defines what runtime state, projection, registry entry, or graph algorithm is being asked to operate, and it determines which output columns downstream YIELD, WITH, and RETURN stages can safely use.

More Detailed Explanation

This differs from community detection by focusing on minimum degree support rather than modular partitions

In practical queries, start by deciding the row grain you want after the call: one row per node, one row per path, one row per registry object, one row per artifact, or one row per summary. Then keep that grain explicit with YIELD and named projections. That is the difference between a useful planner-facing example and a vague call that downstream tooling cannot safely compose. For contract-driven procedures, the executable examples on these pages intentionally inspect procedure metadata unless the required named artifacts are created in the same example.

How It Differs From Nearby Algorithms

This differs from community detection by focusing on minimum degree support rather than modular partitions.

Advanced Example

This example yields named columns from kcore and returns a bounded result shape that downstream planner tooling can compose without guessing column names or row grain.

CALL nexyron.kcore() YIELD node_id, core_number, max_core
RETURN node_id, core_number, max_core
LIMIT 10

Real Use Cases

Real Limitations And Tradeoffs