Large Graph Aggregation Demo

This demo shows how to use the smart NodeAggregation algorithm for drill down exploration of a large graph.

The NodeAggregation algorithms consolidates nodes of a graph and thus creates cluster of nodes based on user-specified constraints.

The demo shows aggregated nodes in a gray style, while original nodes of the data are represented as colored nodes.

The configuration panel provides access to the most important settings of the aggregation algorithm.

The Aggregation Mode determines if nodes are combined in clusters based on the structure of the graph or based on their geometric locations.

Things to Try

Switch between the two layout styles offered for visualizing the aggregated graph (i.e. BalloonLayout and CactusGroupLayout). This re-runs the aggregation as well.
Click on an aggregated node to show its children in the aggregation hierarchy.
Click on a separated node to hide its children in the aggregation hierarchy.
Explore the configuration options of the aggregation algorithm.
Run the aggregation algorithm with the selected settings by pressing the Run button.
Click Switch To Filtered View to hide the aggregation nodes and only show the actual nodes of the graph that are currently explored.
Navigate to a node outside the viewport by clicking an edge whose source or target node is not visible at the moment.

Layout Style

Aggregation Mode

Maximum Duration 0

Minimum Cluster Size 5

Maximum Cluster Size 10

Original Nodes: 0 / 0

Original Edges: 0 / 0

Descendant Count: 0

Descendant Weight Sum: 0

Overview