Kernelization Algorithms for Packing Problems Allowing Overlaps (Extended Version)
Henning Fernau, Alejandro L\'opez-Ortiz, Jazm\'in Romero

TL;DR
This paper studies overlapping packing problems in graphs and sets, providing complexity results and kernelization algorithms that reduce problem sizes based on parameters like overlap and set size.
Contribution
It introduces new kernelization algorithms for overlapping packing problems, extending classical packing problems with overlap constraints and analyzing their computational complexity.
Findings
NP-Completeness for all packing variants
Kernelization algorithms with size bounds depending on parameters
Dichotomy results for problem complexity
Abstract
We consider the problem of discovering overlapping communities in networks which we model as generalizations of Graph Packing problems with overlap. We seek a collection consisting of at least sets subject to certain disjointness restrictions. In the -Set Packing with -Membership, each element of belongs to at most sets of while in -Overlap each pair of sets in overlaps in at most elements. Each set of has at most elements. Similarly, both of our graph packing problems seek a collection of at least subgraphs in a graph each isomorphic to a graph . In -Packing with -Membership, each vertex of belongs to at most subgraphs of while in -Overlap each pair of subgraphs in …
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Taxonomy
TopicsAdvanced Graph Theory Research · Optimization and Packing Problems · Complexity and Algorithms in Graphs
