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Graph clustering using distance-k cliques


Author(s) : Lehrstuhl Fur Informatik Franz J. Br Arunabha Sen Jubin Edachery, 
Publisher : N/A
Publication Date : 1999
ISSN : N/A
Abstract : Abstract. Identifying the natural clusters of nodes in a graph and treating them as supernodes or metanodes for a higher level graph (or an abstract graph) is a technique used for the reduction of visual complexity of graphs with a large number of nodes. In this paper we report on the implementation of a clustering algorithm based on the idea of distance-k cliques, a generalization of the idea of the cliques in graphs. The performance of the clustering algorithm on some large graphs obtained from the archives of Bell Laboratories is presented. 1,