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Exclusive graph searching vs. pathwidth

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2017 France English Publisher:Elsevier BVJournal:Information and Computation, volume 252, pages 243-260 (issn: 0890-5401, Copyright policy )
Authors: Markou, Euripides; Nisse, Nicolas; Pérennes, Stéphane;

doi: 10.1016/j.ic.2016.11.007

Exclusive graph searching vs. pathwidth

Keywords

graph searching, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, pathwidth, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC]

  • BIP!
    Impact byBIP!
    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).
    		 3
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
3
Average
Average
Average
Green
hybrid
Related to Research communities
INRIA
Knowmad Institut