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Article . 2017
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Article . 2017
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MORE ON EDGE HYPER WIENER INDEX OF GRAPHS

More on edge hyper Wiener index of graphs
Authors: Alhevaz, A.; Baghipur, M.;

MORE ON EDGE HYPER WIENER INDEX OF GRAPHS

Abstract

Summary: Let \(G=(V(G),E(G))\) be a simple connected graph with vertex set \(V(G)\) and edge set \(E(G)\). The (first) edge-hyper Wiener index of the graph \(G\) is defined as: \[\begin{aligned} WW_e(G)&=\sum_{\{f,g\}\subseteq E(G)} (d_e(f,g|G)+d_e^2(f,g|G))\\&=\frac{1}{2}\sum_{f\in E(G)} (d_e(f|G)+d^2_e(f|G)), \end{aligned}\] where \(d_e(f,g|G)\) denotes the distance between the edges \(f=xy\) and \(g=uv\) in \(E(G)\) and \(d_e(f|G)=\sum_{g\in E(G)} d_e(f,g|G)\). In this paper we use a method, which applies group theory to graph theory, to improving mathematically computation of the (first) edge-hyper Wiener index in certain classes of graphs. We give also upper and lower bounds for the (first) edge-hyper Wiener index of a graph in terms of its size and Gutman index. Our aim in last section is to investigate products of two or more graphs, and compute edge-hyper Wiener number of some classes of graphs.

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Keywords

line graph, Extremal problems in graph theory, Graphical indices (Wiener index, Zagreb index, Randić index, etc.), Gutman index, Distance in graphs, edge-hyper Wiener index, connectivity, edge-transitive graph, Planar graphs; geometric and topological aspects of graph theory

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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!
0
Average
Average
Average
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