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. RadialTreeLayout and RadialGroupLayout). 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.