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Minimum Dominating Sets in Scale-Free Network Ensembles

We study the scaling behavior of the size of minimum dominating set (MDS) in scale-free networks, with respect to network size N and power-law exponent γ, while keeping the average degree fixed. We study ensembles generated by three different network construction methods, and we use a greedy algorit...

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Detalles Bibliográficos
Autores principales: Molnár, F., Sreenivasan, S., Szymanski, B. K., Korniss, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636516/
http://dx.doi.org/10.1038/srep01736
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author Molnár, F.
Sreenivasan, S.
Szymanski, B. K.
Korniss, G.
author_facet Molnár, F.
Sreenivasan, S.
Szymanski, B. K.
Korniss, G.
author_sort Molnár, F.
collection PubMed
description We study the scaling behavior of the size of minimum dominating set (MDS) in scale-free networks, with respect to network size N and power-law exponent γ, while keeping the average degree fixed. We study ensembles generated by three different network construction methods, and we use a greedy algorithm to approximate the MDS. With a structural cutoff imposed on the maximal degree [Image: see text] we find linear scaling of the MDS size with respect to N in all three network classes. Without any cutoff (k(max) = N – 1) two of the network classes display a transition at γ ≈ 1.9, with linear scaling above, and vanishingly weak dependence below, but in the third network class we find linear scaling irrespective of γ. We find that the partial MDS, which dominates a given z < 1 fraction of nodes, displays essentially the same scaling behavior as the MDS.
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spelling pubmed-36365162013-04-26 Minimum Dominating Sets in Scale-Free Network Ensembles Molnár, F. Sreenivasan, S. Szymanski, B. K. Korniss, G. Sci Rep Article We study the scaling behavior of the size of minimum dominating set (MDS) in scale-free networks, with respect to network size N and power-law exponent γ, while keeping the average degree fixed. We study ensembles generated by three different network construction methods, and we use a greedy algorithm to approximate the MDS. With a structural cutoff imposed on the maximal degree [Image: see text] we find linear scaling of the MDS size with respect to N in all three network classes. Without any cutoff (k(max) = N – 1) two of the network classes display a transition at γ ≈ 1.9, with linear scaling above, and vanishingly weak dependence below, but in the third network class we find linear scaling irrespective of γ. We find that the partial MDS, which dominates a given z < 1 fraction of nodes, displays essentially the same scaling behavior as the MDS. Nature Publishing Group 2013-04-26 /pmc/articles/PMC3636516/ http://dx.doi.org/10.1038/srep01736 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Molnár, F.
Sreenivasan, S.
Szymanski, B. K.
Korniss, G.
Minimum Dominating Sets in Scale-Free Network Ensembles
title Minimum Dominating Sets in Scale-Free Network Ensembles
title_full Minimum Dominating Sets in Scale-Free Network Ensembles
title_fullStr Minimum Dominating Sets in Scale-Free Network Ensembles
title_full_unstemmed Minimum Dominating Sets in Scale-Free Network Ensembles
title_short Minimum Dominating Sets in Scale-Free Network Ensembles
title_sort minimum dominating sets in scale-free network ensembles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636516/
http://dx.doi.org/10.1038/srep01736
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