Computing the Largest Bond of a Graph

Authors Gabriel L. Duarte, Daniel Lokshtanov, Lehilton L. C. Pedrosa , Rafael C. S. Schouery , Uéverton S. Souza

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Author Details

Gabriel L. Duarte
  • Fluminense Federal University, Rio de Janeiro, Brazil
Daniel Lokshtanov
  • University of California Santa Barbara, CA, USA
Lehilton L. C. Pedrosa
  • University of Campinas, São Paulo, Brazil
Rafael C. S. Schouery
  • University of Campinas, São Paulo, Brazil
Uéverton S. Souza
  • Fluminense Federal University, Rio de Janeiro, Brazil


We thank the organizers of WoPOCA 2017 for the opportunity to bring together some of the co-authors of this paper.

Cite AsGet BibTex

Gabriel L. Duarte, Daniel Lokshtanov, Lehilton L. C. Pedrosa, Rafael C. S. Schouery, and Uéverton S. Souza. Computing the Largest Bond of a Graph. In 14th International Symposium on Parameterized and Exact Computation (IPEC 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 148, pp. 12:1-12:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


A bond of a graph G is an inclusion-wise minimal disconnecting set of G, i.e., bonds are cut-sets that determine cuts [S,V\S] of G such that G[S] and G[V\S] are both connected. Given s,t in V(G), an st-bond of G is a bond whose removal disconnects s and t. Contrasting with the large number of studies related to maximum cuts, there are very few results regarding the largest bond of general graphs. In this paper, we aim to reduce this gap on the complexity of computing the largest bond and the largest st-bond of a graph. Although cuts and bonds are similar, we remark that computing the largest bond of a graph tends to be harder than computing its maximum cut. We show that Largest Bond remains NP-hard even for planar bipartite graphs, and it does not admit a constant-factor approximation algorithm, unless P = NP. We also show that Largest Bond and Largest st-Bond on graphs of clique-width w cannot be solved in time f(w) x n^{o(w)} unless the Exponential Time Hypothesis fails, but they can be solved in time f(w) x n^{O(w)}. In addition, we show that both problems are fixed-parameter tractable when parameterized by the size of the solution, but they do not admit polynomial kernels unless NP subseteq coNP/poly.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph theory
  • Theory of computation → Parameterized complexity and exact algorithms
  • bond
  • cut
  • maximum cut
  • connected cut
  • FPT
  • treewidth
  • clique-width


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