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On the Validity of Hierarchical Decompositions

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Computing and Combinatorics (COCOON 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2108))

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Abstract

Hierarchical decompositions are a useful tool for drawing large graphs. Such decompositions can be represented by means of a data structure called hierarchy tree. In this paper we introduce the notion of P-validity of hierarchy trees with respect to a given property P: this notion reflects the similarity between the topological structure of the original graph and of any high-level representation of it obtained from the hierarchy tree. We study the P-validity when the clustered graph is a tree and property P is the acyclicity, presenting a structure theorem for the P-validity of hierarchy trees under these hypotheses.

Work partially supported by the project “Algorithms for Large Data Sets: Science and Engineering” of the Italian Ministry of University and of Scientific and Technological Research (MURST 40%).

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References

  1. Buchsbaum, A.L., and Westbrook, J.R.: Maintaining hierarchical graph views, Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA#x2019;00), 566–575, 2000.

    Google Scholar 

  2. Di Battista, G., Eades, P., Tamassia, R., and Tollis, I.: Graph Drawing: Algorithms for the visualization of graphs, Prentice Hall, Upper Saddle River, NJ, 1999.

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  3. Duncan, C.A., Goodrich, M.T., and Kobourov, S.G.: Balanced aspect ratio trees and their use for drawing large graphs, Journal of Graph Algorithms and Applications, 4(3), 19–46, 2000.

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  4. Eades, P., and Feng, Q.: Multilevel visualization of clustered graphs, Proc. 4th Symposium on Graph Drawing (GD’96), LNCS 1190, 101–112, 1997.

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  5. Feng, Q.W., Cohen, R.F., and Eades, P.: Planarity for clustered graphs, Proc. European Symposium on Algorithms (ESA’95), LNCS 979, 213–226, 1995.

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  6. Finocchi, I., and Petreschi, R.: Hierarchical clustering of trees: algorithms and experiments, Proc. 3rd Workshop on Algorithm Engineering and Experiments (ALENEX’01), January 2001.

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© 2001 Springer-Verlag Berlin Heidelberg

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Finocchi, I., Petreschi, R. (2001). On the Validity of Hierarchical Decompositions. In: Wang, J. (eds) Computing and Combinatorics. COCOON 2001. Lecture Notes in Computer Science, vol 2108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44679-6_40

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  • DOI: https://doi.org/10.1007/3-540-44679-6_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42494-9

  • Online ISBN: 978-3-540-44679-8

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