Interrelations of graph distance measures based on topological indices.

In this paper, we derive interrelations of graph distance measures by means of inequalities. For this investigation we are using graph distance measures based on topological indices that have not been studied in this context. Specifically, we are using the well-known Wiener index, Randić index, eige...

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Main Authors: Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3997355?pdf=render
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spelling doaj-fa9d37c69f784fdfb48f206cd72d023b2020-11-25T01:52:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9498510.1371/journal.pone.0094985Interrelations of graph distance measures based on topological indices.Matthias DehmerFrank Emmert-StreibYongtang ShiIn this paper, we derive interrelations of graph distance measures by means of inequalities. For this investigation we are using graph distance measures based on topological indices that have not been studied in this context. Specifically, we are using the well-known Wiener index, Randić index, eigenvalue-based quantities and graph entropies. In addition to this analysis, we present results from numerical studies exploring various properties of the measures and aspects of their quality. Our results could find application in chemoinformatics and computational biology where the structural investigation of chemical components and gene networks is currently of great interest.http://europepmc.org/articles/PMC3997355?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Matthias Dehmer
Frank Emmert-Streib
Yongtang Shi
spellingShingle Matthias Dehmer
Frank Emmert-Streib
Yongtang Shi
Interrelations of graph distance measures based on topological indices.
PLoS ONE
author_facet Matthias Dehmer
Frank Emmert-Streib
Yongtang Shi
author_sort Matthias Dehmer
title Interrelations of graph distance measures based on topological indices.
title_short Interrelations of graph distance measures based on topological indices.
title_full Interrelations of graph distance measures based on topological indices.
title_fullStr Interrelations of graph distance measures based on topological indices.
title_full_unstemmed Interrelations of graph distance measures based on topological indices.
title_sort interrelations of graph distance measures based on topological indices.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description In this paper, we derive interrelations of graph distance measures by means of inequalities. For this investigation we are using graph distance measures based on topological indices that have not been studied in this context. Specifically, we are using the well-known Wiener index, Randić index, eigenvalue-based quantities and graph entropies. In addition to this analysis, we present results from numerical studies exploring various properties of the measures and aspects of their quality. Our results could find application in chemoinformatics and computational biology where the structural investigation of chemical components and gene networks is currently of great interest.
url http://europepmc.org/articles/PMC3997355?pdf=render
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AT frankemmertstreib interrelationsofgraphdistancemeasuresbasedontopologicalindices
AT yongtangshi interrelationsofgraphdistancemeasuresbasedontopologicalindices
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