Automatic graph clustering (system demonstration)

  • Reinhard Sablowski
  • Arne Frick
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1190)


We present a new, easy to understand algorithm and programming environment allowing for the interactive or automatic clustering of graphs according to several heuristics.

Our approach is based on graph structure only and can be implemented to run efficiently with a personal computer. It is capable of efficiently clustering graphs with > 3000 vertices. We shall demonstrate the interactive user environment for automatic clustering. As an application, we consider the clustering of large WWW connectivity graphs.


Graph Grammar Graph Drawing Automatic Cluster Aesthetics Criterion Heavy Edge 
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 1997

Authors and Affiliations

  • Reinhard Sablowski
    • 1
  • Arne Frick
    • 2
  1. 1.Institut für Programmstrukturen und DatenorganisationUniversität KarlsruheDeutschland
  2. 2.Tom Sawyer SoftwareBerkeley

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