Interactive Structural Clustering of Graphs based on Multi-Representations

This paper investigates the use of a multi-representation of a same graph in order to interactively cluster it. Both a node-link and a matrix representation of the graph are provided. The clustering technique under consideration requires parameters to be set. The matrix representation of the graph is provided in order to visually decide on the value of those parameters. The approach has been implemented and is illustrated through an example.