Entropy bounds for hierarchical molecular networks.

In this paper we derive entropy bounds for hierarchical networks. More precisely, starting from a recently introduced measure to determine the topological entropy of non-hierarchical networks, we provide bounds for estimating the entropy of hierarchical graphs. Apart from bounds to estimate the entr...

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Autores principales: Matthias Dehmer, Stephan Borgert, Frank Emmert-Streib
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Publicado: Public Library of Science (PLoS) 2008
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Acceso en línea:https://doaj.org/article/9f3bfced97d34469af22ca1a9d36388d
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spelling oai:doaj.org-article:9f3bfced97d34469af22ca1a9d36388d2021-11-25T06:18:48ZEntropy bounds for hierarchical molecular networks.1932-620310.1371/journal.pone.0003079https://doaj.org/article/9f3bfced97d34469af22ca1a9d36388d2008-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18769487/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In this paper we derive entropy bounds for hierarchical networks. More precisely, starting from a recently introduced measure to determine the topological entropy of non-hierarchical networks, we provide bounds for estimating the entropy of hierarchical graphs. Apart from bounds to estimate the entropy of a single hierarchical graph, we see that the derived bounds can also be used for characterizing graph classes. Our contribution is an important extension to previous results about the entropy of non-hierarchical networks because for practical applications hierarchical networks are playing an important role in chemistry and biology. In addition to the derivation of the entropy bounds, we provide a numerical analysis for two special graph classes, rooted trees and generalized trees, and demonstrate hereby not only the computational feasibility of our method but also learn about its characteristics and interpretability with respect to data analysis.Matthias DehmerStephan BorgertFrank Emmert-StreibPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 8, p e3079 (2008)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Matthias Dehmer
Stephan Borgert
Frank Emmert-Streib
Entropy bounds for hierarchical molecular networks.
description In this paper we derive entropy bounds for hierarchical networks. More precisely, starting from a recently introduced measure to determine the topological entropy of non-hierarchical networks, we provide bounds for estimating the entropy of hierarchical graphs. Apart from bounds to estimate the entropy of a single hierarchical graph, we see that the derived bounds can also be used for characterizing graph classes. Our contribution is an important extension to previous results about the entropy of non-hierarchical networks because for practical applications hierarchical networks are playing an important role in chemistry and biology. In addition to the derivation of the entropy bounds, we provide a numerical analysis for two special graph classes, rooted trees and generalized trees, and demonstrate hereby not only the computational feasibility of our method but also learn about its characteristics and interpretability with respect to data analysis.
format article
author Matthias Dehmer
Stephan Borgert
Frank Emmert-Streib
author_facet Matthias Dehmer
Stephan Borgert
Frank Emmert-Streib
author_sort Matthias Dehmer
title Entropy bounds for hierarchical molecular networks.
title_short Entropy bounds for hierarchical molecular networks.
title_full Entropy bounds for hierarchical molecular networks.
title_fullStr Entropy bounds for hierarchical molecular networks.
title_full_unstemmed Entropy bounds for hierarchical molecular networks.
title_sort entropy bounds for hierarchical molecular networks.
publisher Public Library of Science (PLoS)
publishDate 2008
url https://doaj.org/article/9f3bfced97d34469af22ca1a9d36388d
work_keys_str_mv AT matthiasdehmer entropyboundsforhierarchicalmolecularnetworks
AT stephanborgert entropyboundsforhierarchicalmolecularnetworks
AT frankemmertstreib entropyboundsforhierarchicalmolecularnetworks
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