Toggle visualization layouts#
You can switch among different visualization layouts to analyze entities from different perspectives.
For example, you can focus on hierarchical relationships, or you may want to examine how a network evolves over time.
The available graph layouts enable you to approach a scenario from multiple angles, so that you can look for patterns, relationships, and structures providing meaningful context.
In the graph top navigation bar, click the icon corresponding to the desired layout to automatically rearrange the view accordingly.
Layout type |
Description |
---|---|
Standard |
In the standard layout, links on the graph are a consistent length. Nodes and edges overlap as little as possible, and they are evenly distributed on the graph surface. It offers a consistent and clean view. It is a good starting point to begin analyzing any kind of data and any dataset size, especially when you are looking for patterns and symmetries. |
Hierarchy |
It is a tree structure with nodes. It displays child nodes horizontally below the corresponding parents. Connections flow top-down through the chart from the original subject. It is an efficient layout to visualize workflows and processes, impact analysis, and hierarchical relationships. |
Radial |
The radial layout arranges nodes in concentric circles around the original subject in a radial tree. Each set of nodes becomes a new orbit extending outwards from the original parent. This layout works best with networks with a large volume of child nodes to each parent. |
Structural |
It is similar to the standard layout. However, in the structural layout nodes with similar attributes are grouped together in fans. This visualization provides a clear overview of the clusters within a network, without focusing on a specific one. |
Tweak |
The tweak layout shows how networks evolve. The layout automatically adapts as links are created and destroyed, so that you can see where and how the changes occur. It is ideal for visualizing the behavior of dynamic and changing graphs. |