Graph Visualization Settings

You can click the Settings gear icon to open the Graph Visualization settings window.

The Visualization settings window comprises the General, Graph Exploration, and Styles tab.

Configuring General Settings

You can add vertex and edge captions, set the graph layout and page size in the General of the Graph Visualization settings:

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Configuring Graph Exploration Settings

You can enable and configure Network Evolution in the Graph Exploration tab of the Graph Visualization settings. See Using Network Evolution in Graph Visualization for more information.

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Configuring Vertex and Edge Styles

You can configure and manage vertex and edge styles to customize the appearance of vertices and edges in the graph. The Styles tab of the Graph Visualization settings displays both the default and custom vertex and edge styles.

You can perform the following actions in this tab:

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To add a new vertex or edge style, click New vertex style or New edge style as required. The following shows the screenshot for configuring a new vertex style.

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You can configure the following values as appropriate:

Related Topics

Enabling Cluster Option in Graph Visualization

You can enable the cluster option with Force layout to group vertices by labels or by any specific vertex property in your graph visualization.

This is very useful when you are visualizing a graph with a lot of interconnected vertices.

Perform the following steps to apply clustering of vertices in your graph visualization:

  1. Click the Settings gear icon to open the graph Visualization settings dialog.

  2. Click the General tab.

  3. Select Force Layout in the Layout section.

  4. Click the Enable Cluster Layout checkbox.

  5. Select the Cluster By option.

    You can choose to cluster the vertices by labels (default) or by any specific vertex property.

    If you choose to cluster by a vertex property, then note that the clusters are created around property values that are identical. For instance, when querying a graph after running a community detection algorithm, you can use the vertex property containing the community ID value as a Cluster Byoption. This will create clusters that contain vertices with the same community ID.

  6. Optionally, adjust Distance Between Clusters to set the distance between the clusters.

  7. Optionally, adjust Spacing to set the distance between vertices inside clusters.

  8. Close the Visualization settings dialog.

    The vertices in the graph are clustered together based on the selected clustering option. For example, the following figure shows clustering of vertices based on labels:

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Importing and Exporting Graph Visualization Settings

You can import and export the graph visualization settings as a JSON file.

The options to import and export the settings are available on the right of the graph visualization panel:

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