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Theoretical Computer Science
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A greedy approximation for minimum connected dominating sets

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2004 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 329, pages 325-330 (issn: 0304-3975, Copyright policy )Funded by:NSF | ALGORITHMS: Collaborative...
Authors: Lu Ruan 0001; Hongwei Du 0001; Xiaohua Jia; Weili Wu 0001; Yingshu Li 0001; Ker-I Ko;

doi: 10.1016/j.tcs.2004.08.013

A greedy approximation for minimum connected dominating sets

Abstract

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Keywords

Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Connected dominating set, Graph theory (including graph drawing) in computer science, greedy approximation, Approximation algorithms, Greedy approximation, Theoretical Computer Science, Computer Science(all)

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    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).
    		 154
    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.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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!
154
Top 10%
Top 1%
Top 10%
hybrid