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Abstract

Many applications, like the retrieval of information from the WWW, require or are improved by the detection of sets of closely related vertices in graphs. Depending on the application, many approaches are possible. In this paper we present a purely graph-theoretical approach, independent of the represented data. Based on the edge-connectivity of subgraphs, a tree of subgraphs is constructed, such that the children of a node are pairwise disjoint and contained in their parent. We describe a polynomial algorithm for the construction of the tree and present two efficient methods for the handling of dangling links vertices of low degree, constructing the correct result in significantly decreased time. Furthermore we give a short description of possible applications in the fields of information retrieval, clustering and graph drawing.

Keywords

Connected Subgraph Natural Cluster Biconnected Component Link Topology Large Subgraph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Michael Brinkmeier
    • 1
  1. 1.Faculty of Computer Science and Automation, Institute for Theoretical and Technical Computer ScienceTechnical University Ilmenau 

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