On the Relation of Strong Triadic Closure and Cluster Deletion
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Abstract (arXiv)
We study the parameterized and classical complexity of two related problems on undirected graphs G=(V,E). In Strong Triadic Closure we aim to label the edges in E as strong and weak such that at most~k edges are weak and G contains no induced P3 with two strong edges. In Cluster Deletion, we aim to destroy all induced P3s by a minimum number of edge deletions. We first show that Strong Triadic Closure admits a 4k-vertex kernel. Then, we study parameterization by ℓ:=|E|-k and show that both problems are fixed-parameter tractable and unlikely to admit a polynomial kernel with respect to ℓ. Finally, we give a dichotomy of the classical complexity of both problems on H-free graphs for all H of order four.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Mar 2018.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1.
4 papers.
- 2021Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Boundscited by 12
- 2021On the Parameterized Complexity of Polytree Learningcited by 6
- 2023Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labelingcited by 2
- 2024Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Bettercited by 0
- 2024Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better24 Apr 2024
- 2023Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling8 Jun 2023
- 2021Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds20 Nov 2021
- 2021On the Parameterized Complexity of Polytree Learning20 May 2021