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Discrete Applied Mathematics
Article . 2019 . Peer-reviewed
License: Elsevier Non-Commercial
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Article . 2019
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https://dx.doi.org/10.48550/ar...
Article . 2017
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The edge-Wiener index and the edge-hyper-Wiener index of phenylenes

Authors: Petra Zigert Pletersek;

The edge-Wiener index and the edge-hyper-Wiener index of phenylenes

Abstract

Besides the well known Wiener index, which sums up the distances between all the pairs of vertices, and the hyper-Wiener index, which includes also the squares of distances, the edge versions of both indices attracted a lot of attention in the recent years. In this paper we consider the edge-Wiener index and the edge-hyper-Wiener index of phenylenes, which represent an important class of molecular graphs. For an arbitrary phenylene, four quotient trees based on the elementary cuts are defined in a similar way as it was previously done for benzenoid systems. The computation of the edge-Wiener index of the phenylene is then reduced to the calculation of the weighted Wiener indices of the corresponding quotient trees. Furthermore, a method for computing the edge-hyper-Wiener index of phenylenes is described. Finally, the application of these results gives closed formulas for the edge-Wiener index and the edge-hyper-Wiener index of linear phenylenes.

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Keywords

elementary cut, edge-Wiener index, Distance in graphs, Applications of graph theory, edge-hyper-Wiener index, Molecular structure (graph-theoretic methods, methods of differential topology, etc.), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), phenylene, quotient tree

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
bronze