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Edge Exploration of Temporal Graphs

Edge exploration of temporal graphs
Authors: Benjamin Merlin Bumpus; Kitty Meeks;

Edge Exploration of Temporal Graphs

Abstract

AbstractWe introduce a natural temporal analogue of Eulerian circuits and prove that, in contrast to the static case, it is$${\textsc {NP}}$$NP-hard to determine whether a given temporal graph is temporally Eulerian even if strong restrictions are placed on the structure of the underlying graph and each edge is active at only three times. However, we do obtain an$${\textsc {FPT}}$$FPT-algorithm with respect to a new parameter calledinterval-membership-widthwhich restricts the times assigned to different edges; we believe that this parameter will be of independent interest for other temporal graph problems. Our techniques also allow us to resolve two open questions of Akrida, Mertzios and Spirakis [CIAC 2019] concerning a related problem of exploring temporal stars.

Related Organizations
Keywords

width measures, FOS: Computer and information sciences, Eulerian and Hamiltonian graphs, Parameterized complexity, tractability and kernelization, dynamic networks, Computational Complexity (cs.CC), Computer Science - Computational Complexity, temporal graphs, Graph theory (including graph drawing) in computer science, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), F.2.0, 05C99, parameterized complexity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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