Metrics for Multiset-Theoretic Subgraphs

We show how to define a plethora of metrics for graphs—either full graphs or subgraphs. The method mainly utilizes the minimal matching between any two multisets of positive real numbers by comparing the multiple edges with respect to their corresponding vertices. In the end of this article, we also...

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Main Author: Ray-Ming Chen
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2019/7630242
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author Ray-Ming Chen
author_facet Ray-Ming Chen
author_sort Ray-Ming Chen
collection DOAJ
description We show how to define a plethora of metrics for graphs—either full graphs or subgraphs. The method mainly utilizes the minimal matching between any two multisets of positive real numbers by comparing the multiple edges with respect to their corresponding vertices. In the end of this article, we also demonstrate how to implement these defined metrics with the help of adjacency matrices. These metrics are easy to be manipulated in real applications and could be amended according to different situations. By our metrics, one should be able to compare the distances between graphs, trees, and networks, in particular those with fuzzy properties.
format Article
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institution Kabale University
issn 2314-8896
2314-8888
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-5479614decb54a4cb43ad60ee46ca9ea2025-02-03T05:53:43ZengWileyJournal of Function Spaces2314-88962314-88882019-01-01201910.1155/2019/76302427630242Metrics for Multiset-Theoretic SubgraphsRay-Ming Chen0School of Mathematics and Statistics, Baise University, 21, Zhongshan No. 2 Road, Guangxi Province, ChinaWe show how to define a plethora of metrics for graphs—either full graphs or subgraphs. The method mainly utilizes the minimal matching between any two multisets of positive real numbers by comparing the multiple edges with respect to their corresponding vertices. In the end of this article, we also demonstrate how to implement these defined metrics with the help of adjacency matrices. These metrics are easy to be manipulated in real applications and could be amended according to different situations. By our metrics, one should be able to compare the distances between graphs, trees, and networks, in particular those with fuzzy properties.http://dx.doi.org/10.1155/2019/7630242
spellingShingle Ray-Ming Chen
Metrics for Multiset-Theoretic Subgraphs
Journal of Function Spaces
title Metrics for Multiset-Theoretic Subgraphs
title_full Metrics for Multiset-Theoretic Subgraphs
title_fullStr Metrics for Multiset-Theoretic Subgraphs
title_full_unstemmed Metrics for Multiset-Theoretic Subgraphs
title_short Metrics for Multiset-Theoretic Subgraphs
title_sort metrics for multiset theoretic subgraphs
url http://dx.doi.org/10.1155/2019/7630242
work_keys_str_mv AT raymingchen metricsformultisettheoreticsubgraphs