Abstract
An s-club is a graph which has diameter at most s. Let G be a graph. A set of vertices \(D\subseteq V(G)\) is an s-club deleting (s -CD) set if each connected component of \(G-D\) is an s-club. In the s -Club Cluster Vertex Deletion (s -CVD) problem, the goal is to find an s-CD set with minimum cardinality. When \(s=1\), the s -CVD is equivalent to the well-studied Cluster Vertex Deletion problem. On the negative side, we show that unless the Unique Games Conjecture is false, there is no \((2-\epsilon )\)-algorithm for 2-CVD on split graphs, for any \(\epsilon > 0\). This contrast the polynomial-time solvability of Cluster Vertex Deletion on split graphs. We show that for each \(s\ge 2\), s-CVD is NP-hard on bounded degree planar bipartite graphs and APX-hard on bounded degree bipartite graphs. On the positive side, we give a polynomial-time algorithm to solve s-CVD on trapezoid graphs, for each \(s\ge 1\).
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Notes
- 1.
Let H be a graph and E(H) be the edge set of H. A transitive orientation of H is an orientation of the edges in E(H) such that if \((a,b),(b,c) \in E(G)\) and are oriented from a to b and b to c respectively then \((a,c) \in E(H)\) and is oriented from a to c.
- 2.
Such representation of trapezoid graphs are possible, see [9].
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Chakraborty, D., Chandran, L.S., Padinhatteeri, S., Pillai, R.R. (2021). Algorithms and Complexity of s-Club Cluster Vertex Deletion. In: Flocchini, P., Moura, L. (eds) Combinatorial Algorithms. IWOCA 2021. Lecture Notes in Computer Science(), vol 12757. Springer, Cham. https://doi.org/10.1007/978-3-030-79987-8_11
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