Self-Organizing Map and Tree Topology for Graph Summarization

  • Nhat-Quang Doan
  • Hanane Azzag
  • Mustapha Lebbah
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7553)


In this paper, we present a novel approach called SOM-tree to summarize a given graph into a smaller one by using a new decomposition of original graph. The proposed approach provides simultaneously a topological map and a tree topology of data using self-organizing maps. Unlike other clustering methods, the tree-structure aim to preserve the strengths of connections between graph vertices. The hierarchical nature of the summarization data structure is particularly attractive. Experiments evaluated by Accuracy and Normalized Mutual Information conducted on real data sets demonstrate the good performance of SOM-tree.


Self-Organizing Map hierarchical clustering tree topology graph summarization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nhat-Quang Doan
    • 1
  • Hanane Azzag
    • 1
  • Mustapha Lebbah
    • 1
  1. 1.Laboratoire d’Informatique de Paris-Nord (LIPN), CNRS (UMR 7030)Université Paris 13, Sorbonne Paris CitéVilletaneuseFrance

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