On the Hardness of Finding Temporally Connected Subgraphs of Any Size
Arnaud Casteigts, Christian Komusiewicz, Nils Morawietz

TL;DR
This paper proves that finding large temporally connected subgraphs in temporal graphs is NP-hard, strengthening previous results and exploring structural properties of such graphs.
Contribution
It significantly advances the complexity understanding of TC subgraph existence, including NP-hardness proofs and structural insights.
Findings
Deciding if a TC subgraph of size at least 3 exists is NP-hard in all standard settings.
Largest TC subgraph size cannot be approximated within certain factors in directed and undirected graphs.
Existence of arbitrarily large TC graphs of constant lifetime without nontrivial TC subgraphs.
Abstract
Temporal graphs are graphs whose edges are only present at certain points in time. Reachability in these graphs relies on temporal paths, where edges are traversed chronologically. A temporal graph that offers all-pairs reachability is said to be temporally connected (or TC). For temporal graphs that are not TC, a natural question is whether they admit a TC subgraph (a.k.a. closed temporal component) of a given size . This question was one of the earliest in the field, shown to be NP-hard by Bhadra and Ferreira in 2003. We strengthen this result dramatically, showing that deciding if a TC subgraph exists on at least vertices is already NP-hard in all the standard temporal graph settings (directed/undirected and strict/non-strict through simple and proper reductions). This implies a strong separation between closed temporal components and open temporal components (where temporal…
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