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Theoretical Computer Science
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Hardness and approximation results for Black Hole Search in arbitrary networks

Hardness and approximation results for black hole search in arbitrary networks
descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2007 United Kingdom English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 384, pages 201-221 (issn: 0304-3975, Copyright policy )
Authors: Ralf Klasing; Euripides Markou; Tomasz Radzik; Fabiano Sarracco;

doi: 10.1016/j.tcs.2007.04.024

Hardness and approximation results for Black Hole Search in arbitrary networks

Abstract

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United Kingdom
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Keywords

Mobile agent, black hole search, Approximation algorithm, Approximation algorithms, 004, Theoretical Computer Science, Graph exploration, mobile agent, Black Hole Search, Graph theory (including graph drawing) in computer science, NP-hardness, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), graph exploration, Computer Science(all)

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
36
Top 10%
Top 10%
Top 10%
hybrid
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