Parameterized Algorithmics and Computational Experiments for Finding 2-Clubs

Authors

  • Sepp Hartung
  • Christian Komusiewicz
  • André Nichterlein

DOI:

https://doi.org/10.7155/jgaa.00352

Keywords:

clique relaxation , network analysis , branch and bound , kernelization

Abstract

Given an undirected graph G=(V,E) and an integer l ≥ 1, the NP-hard  2-CLUB problem asks for a vertex set SV of size at least l such that the subgraph induced by S has diameter at most two. In this work, we extend previous parameterized complexity studies for  2-CLUB. On the positive side, we give polynomial-size problem kernels for the parameters feedback edge set size of G and size of a cluster editing set of G and present a direct combinatorial algorithm for the parameter treewidth of G. On the negative side, we first show that unless NPcoNP/poly, 2-CLUB does not admit a polynomial-size problem kernel with respect to the size of a vertex cover of G. Next, we show that, under the strong exponential time hypothesis, a previous O(2|V|−l·|V||E|)-time search tree algorithm [Schäfer et al., Optim. Lett. 2012] cannot be improved and that, unless NPcoNP/poly, there is no polynomial-size problem kernel for the dual parameter |V|−l. Finally, we show that, in spite of this lower bound, the search tree algorithm for the dual parameter |V|−l can be tuned into an efficient exact algorithm for 2-CLUB that outperforms previous implementations.

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Published

2015-01-01

How to Cite

Hartung, S., Komusiewicz, C., & Nichterlein, A. (2015). Parameterized Algorithmics and Computational Experiments for Finding 2-Clubs. Journal of Graph Algorithms and Applications, 19(1), 155–190. https://doi.org/10.7155/jgaa.00352

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