This demo demonstrates how the clusters function of KeyLines can be used to find communities in a graph. By moving the slider, it is possible to change the sensitivity of clusters. Higher values create a larger number of smaller clusters, while lower values produce fewer, larger clusters. In this demo we assign each cluster a random colour.

Note also this demo uses the 'Lens' layout - see Layouts.

The data used in this demo shows companies and their relationship to other companies by ownership. The dataset authors are Kim Norlen, Gabriel Lucas, Mike Gebbie and John Chuang. EVA: Extraction, Visualization and Analysis of the Telecommunications and Media Ownership Network. Proceedings of the International Telecommunications Society's 14th Biennial Conference, Seoul Korea, August 2002.

Key functions used:

• chart.graph().clusters