Weakly connected component
A weakly connected component is a maximal set of vertices in a directed graph that remains connected when edge directions are ignored.
Knowledge Graphs and LLMs in Action
A weakly connected component is a maximal set of vertices in a directed graph that remains connected when edge directions are ignored.
- How it is used
- Evaluates graph structure and resolves groups of related entity mentions in knowledge graphs.
- How deep it goes
- Explains projection, execution, stored identifiers, and distribution interpretation; defers dense community discovery to Louvain.
- Examples
- Uses a protein–protein interaction network and a person-mention similarity metagraph as concrete applications.
- What you can do after
- Apply it via Neo4j GDS to write component identifiers and inspect component distributions.
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Graph Algorithms for Data Science
A weakly connected component algorithm identifies maximal node sets that are connected when the directions of relationships are disregarded.
- How it is used
- Uses WCC early to assess graph connectivity, isolate disconnected regions, and focus later network analysis.
- How deep it goes
- Explains direction-insensitive connectivity and demonstrates write, stats, and stream workflows, without covering algorithm internals.
- Examples
- Demonstrates follower and retweet networks, component distributions, network visualizations, and self-retweet single-member components.
- What you can do after
- Operate/configure Neo4j GDS WCC procedures, store component identifiers, summarize sizes, and investigate disconnected or anomalous components.
Read how Graph Algorithms for Data Science explains weakly connected component →
Related concepts
- write modeconfigured by · Write mode is an algorithm execution mode that persists computed results as properties or other data in the target graph database.
- co-occurrence networkuses · A co-occurrence network is a graph whose entities are connected when they appear together in a shared context.
- community detectionkind of · Community detection is a graph-analysis technique for identifying groups of nodes that are more densely or strongly connected to one another than to the rest of the graph.
- graph algorithmkind of · A graph algorithm is a computational procedure that operates on graph vertices, edges, and relationships to compute properties or solve problems.
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