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On the Wiener Polarity Index of Lattice Networks

Network structures are everywhere, including but not limited to applications in biological, physical and social sciences, information technology, and optimization. Network robustness is of crucial importance in all such applications. Research on this topic relies on finding a suitable measure and us...

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Detalles Bibliográficos
Autores principales: Chen, Lin, Li, Tao, Liu, Jinfeng, Shi, Yongtang, Wang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145185/
https://www.ncbi.nlm.nih.gov/pubmed/27930705
http://dx.doi.org/10.1371/journal.pone.0167075
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author Chen, Lin
Li, Tao
Liu, Jinfeng
Shi, Yongtang
Wang, Hua
author_facet Chen, Lin
Li, Tao
Liu, Jinfeng
Shi, Yongtang
Wang, Hua
author_sort Chen, Lin
collection PubMed
description Network structures are everywhere, including but not limited to applications in biological, physical and social sciences, information technology, and optimization. Network robustness is of crucial importance in all such applications. Research on this topic relies on finding a suitable measure and use this measure to quantify network robustness. A number of distance-based graph invariants, also known as topological indices, have recently been incorporated as descriptors of complex networks. Among them the Wiener type indices are the most well known and commonly used such descriptors. As one of the fundamental variants of the original Wiener index, the Wiener polarity index has been introduced for a long time and known to be related to the cluster coefficient of networks. In this paper, we consider the value of the Wiener polarity index of lattice networks, a common network structure known for its simplicity and symmetric structure. We first present a simple general formula for computing the Wiener polarity index of any graph. Using this formula, together with the symmetric and recursive topology of lattice networks, we provide explicit formulas of the Wiener polarity index of the square lattices, the hexagonal lattices, the triangular lattices, and the 3(3) ⋅ 4(2) lattices. We also comment on potential future research topics.
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spelling pubmed-51451852016-12-22 On the Wiener Polarity Index of Lattice Networks Chen, Lin Li, Tao Liu, Jinfeng Shi, Yongtang Wang, Hua PLoS One Research Article Network structures are everywhere, including but not limited to applications in biological, physical and social sciences, information technology, and optimization. Network robustness is of crucial importance in all such applications. Research on this topic relies on finding a suitable measure and use this measure to quantify network robustness. A number of distance-based graph invariants, also known as topological indices, have recently been incorporated as descriptors of complex networks. Among them the Wiener type indices are the most well known and commonly used such descriptors. As one of the fundamental variants of the original Wiener index, the Wiener polarity index has been introduced for a long time and known to be related to the cluster coefficient of networks. In this paper, we consider the value of the Wiener polarity index of lattice networks, a common network structure known for its simplicity and symmetric structure. We first present a simple general formula for computing the Wiener polarity index of any graph. Using this formula, together with the symmetric and recursive topology of lattice networks, we provide explicit formulas of the Wiener polarity index of the square lattices, the hexagonal lattices, the triangular lattices, and the 3(3) ⋅ 4(2) lattices. We also comment on potential future research topics. Public Library of Science 2016-12-08 /pmc/articles/PMC5145185/ /pubmed/27930705 http://dx.doi.org/10.1371/journal.pone.0167075 Text en © 2016 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Lin
Li, Tao
Liu, Jinfeng
Shi, Yongtang
Wang, Hua
On the Wiener Polarity Index of Lattice Networks
title On the Wiener Polarity Index of Lattice Networks
title_full On the Wiener Polarity Index of Lattice Networks
title_fullStr On the Wiener Polarity Index of Lattice Networks
title_full_unstemmed On the Wiener Polarity Index of Lattice Networks
title_short On the Wiener Polarity Index of Lattice Networks
title_sort on the wiener polarity index of lattice networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145185/
https://www.ncbi.nlm.nih.gov/pubmed/27930705
http://dx.doi.org/10.1371/journal.pone.0167075
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