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module icon ELK - Log Analytics
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Reporting Vulnerabilities Cyber Resilience Act Compliance Glossary

Graph

Graph is used to explore and visualize relationships between data entities. Its purpose is to help users discover how different values, fields or documents are connected within the indexed data.

Instead of focusing only on counts, trends or charts, Graph highlights links and associations. This makes it useful for identifying patterns, dependencies and hidden relationships that may not be immediately visible through standard visualizations.

With Graph, users can:

  • explore connections between entities and values

  • identify related terms or linked data points

  • visually analyze how different elements are associated

  • expand the graph to discover additional relationships

  • support investigations and pattern analysis through a graphical view

Graph is especially useful when the goal is to understand how data elements are connected, rather than only measuring them.

Roles and Permissions

Depending on the role defined by the contract with your organization, you might have different permissions:

  • VIEWER: Read

  • EDITOR: Create, Read, Update and Delete

  • ADMIN: Create, Read, Update and Delete

Creating a Graph

  1. Click the Create graph button.

    Graph list with the Create graph button highlighted

  2. Choose the data source.

    New graph with the Select a data source link highlighted

  3. Choose the fields on which to build the graph.

    Graph editor showing the Add fields link and available fields

  4. Enter a query in the search bar and click Graph, or click Graph the top terms to start exploring without a query.

  5. The graph shows the relationships found between the selected fields.

    Graph showing connections between values from the selected fields

See also

For more details on Graph features and options, see the official Elastic Graph documentation.

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