Parameterized Aspects of Strong Subgraph Closure
Petr A. Golovach, Pinar Heggernes, Athanasios L. Konstantinidis,, Paloma T. Lima, and Charis Papadopoulos

TL;DR
This paper introduces and studies the parameterized complexity of the Strong F-closure problem, a generalization of Strong Triadic Closure, analyzing its fixed-parameter tractability and kernelization across various graph classes.
Contribution
It establishes FPT results for Strong F-closure with respect to the number of strong edges and explores kernelization limits, including polynomial kernels on specific graph classes.
Findings
Strong F-closure is FPT for every fixed F when parameterized by the number of strong edges.
No polynomial kernel exists for Strong F-closure even on split graphs.
Polynomial kernels are possible for planar and d-degenerate graphs.
Abstract
Motivated by the role of triadic closures in social networks, and the importance of finding a maximum subgraph avoiding a fixed pattern, we introduce and initiate the parameterized study of the Strong F-closure problem, where F is a fixed graph. This is a generalization of Strong Triadic Closure, whereas it is a relaxation of F-free Edge Deletion. In Strong F-closure, we want to select a maximum number of edges of the input graph G, and mark them as strong edges, in the following way: whenever a subset of the strong edges forms a subgraph isomorphic to F, then the corresponding induced subgraph of G is not isomorphic to F. Hence the subgraph of G defined by the strong edges is not necessarily F-free, but whenever it contains a copy of F, there are additional edges in G to destroy that strong copy of F in G. We study Strong F-closure from a parameterized perspective with various…
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