A good layout is essential for untangling and understanding any network. We offer eight different graph layouts, each designed to highlight different aspects of your data. They’ve been carefully optimized to ensure consistency, performance and clarity.
‘Standard’ is an efficient, force-directed layout. This means that it constructs the graph so links are a consistent length, with nodes and edges overlapping as little as possible and distributed evenly across the chart.
Its consistency and simplicity helps make it a good catch-all for any kind of data and any size of dataset. It’s particularly useful for finding patterns and symmetries.
This is a force-directed layout designed specifically for your biggest data-sets.
It detangles complex networks by spreading nodes and links apart, so multiple components are laid out in a circular arrangement with larger components in the centre. The pattern is easy to understand and helps reveal underlying structures.
This layout has been designed to push highly-connected nodes into the center, and force the less connected nodes into the periphery, so nodes are arranged in a circular shape.
This results in an attractive ‘lens’ view allowing users to find well-connected nodes more quickly. It’s a particularly efficient way to view large networks.
This layout is similar to the standard layout, except it groups nodes with similar attributes together in fans. It’s particularly useful to get an overview of the network clusters, or to identify groupings that may not be obvious.
Most people are familiar with this kind of layout – it’s like a family tree of nodes. Child nodes are shown in horizontal layers below their parents, with the connections working top-down from the origin.
This layout works particularly well for workflow or process visualization, impact analysis or, unsurprisingly, for showing hierarchical relationships.
Our sequential layout is a good way to display where there’s a clear parent-child relationship between nodes, but where the nodes also have a set tier or level that needs to be communicated.
It takes multiple components into account, minimizes link crossings and makes really efficient use of the available screen space.
Our radial layout arranges nodes in concentric circles around the original subject in a radial tree. Each generation of node becomes a new orbit extending outwards, showing a dependency chain.
Generally, this layout is the best option for networks with a large volume of child nodes to each parent.
This layout has been designed specifically for dynamic and evolving datasets. When the network changes slightly, users don’t want the whole network to be rearranged. The tweak layout makes a small adjustment to the network so users don’t lose their mental map of the data.
Ready to learn more?
Get started with one of our data visualization products to try these graph layouts for yourself.