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    Graph Traversal

    Data integration & searchGraph pass
    Editorially reviewed on: 1 source
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    The short answer · 14 words

    In short

    Graph Traversal visits nodes and edges of a graph according to a search strategy.

    Flow-alerta.cab (2026): Graph Traversal. https://flow-alerta.cab/en/glossar/graph-traversal. Editorially reviewed on: 10 October 2026.

    How much detail would you like?

    Practical

    Graph runs support path and dependency queries. For a complete BFS/DFS run with visit marking, the effort for adjacency lists is O(V + E); the enumeration of many possible paths can be significantly more expensive.

    Hypothetical example: A system tracks which assemblies depend on a faulty part.

    Define direction, allow depth and access rights for your relationship queries.

    At a glance

    Core
    Breadth-first search, depth-first search or domain-specific path rules determine order and termination. Traversal is an operation, not a database or a learning method.
    Use
    Graph runs support path and dependency queries. For a complete BFS/DFS run with visit marking, the effort for adjacency lists is O(V + E); the enumeration of many possible paths can be significantly more expensive.
    Example
    Hypothetical example: A system tracks which assemblies depend on a faulty part.
    Limits
    Cycles without visit marking; unclear direction; unlimited depth; ignoring permissions along paths.

    In context

    Breadth-First Search (BFS)

    Graph and tree search algorithm, which searches nodes layer by layer for their distance from the starting node.

    Graph Database

    A graph database stores and queries entities and relationships as a graph.

    Questions about this term

    How are BFS and DFS different?

    BFS investigates by distance in edges, DFS first a path into the depth.

    Does BFS Deliver the Cheapest Weighted Path?

    No, BFS minimizes the edge number in the unweighted graph.

    All details and background

    Breadth-first search, depth-first search or domain-specific path rules determine order and termination. Traversal is an operation, not a database or a learning method.

    ELI5 – Explained simply

    You follow connections through a network according to fixed rules.

    Why it matters in practice

    Graph runs support path and dependency queries. For a complete BFS/DFS run with visit marking, the effort for adjacency lists is O(V + E); the enumeration of many possible paths can be significantly more expensive.

    Example

    Hypothetical example: A system tracks which assemblies depend on a faulty part.

    Pitfalls and limits

    • Cycles without visit marking; unclear direction; unlimited depth; ignoring permissions along paths.

    Origin & history

    BFS and DFS are classical algorithms of graph theory and computer science.

    Use in mid-sized companies

    • Define direction, allow depth and access rights for your relationship queries.

    Related terms

    Matching Flow-alerta service

    AI opportunity analysis & roadmapAI consulting: Examine tasks, data and prerequisites of a possible AI use case.

    Matching tool / use case

    View use casesBreadth search (BFS), depth search (DFS), queue and visit marking.

    Sources

    Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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