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Journal of Graph Algorithms and Applications
Article . 2005 . Peer-reviewed
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2005 . Peer-reviewed
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Clustering Cycles into Cycles of Clusters

Authors: PIER FRANCESCO CORTESE; DI BATTISTA, Giuseppe; PATRIGNANI, Maurizio; PIZZONIA, MAURIZIO;

Clustering Cycles into Cycles of Clusters

Abstract

In this paper we study the clustered graphs whose underlying graph is a cycle. This is a simple family of clustered graphs that are “highly non connected”. We start by studying 3-cluster cycles, that are clustered graphs such that the underlying graph is a simple cycle and there are three clusters all at the same level. We show that in this case testing the c-planarity can be done efficiently and give an efficient drawing algorithm. Also, we characterize 3-cluster cycles in terms of formal grammars. Finally, we generalize the results on 3-cluster cycles considering clustered graphs that at each level of the inclusion tree have a cycle structure. Even in this case we show efficient c-planarity testing and drawing algorithms.

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Keywords

Graph drawing; Constrained planarity; Clustered planarity

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Average
Top 10%
Top 10%
gold