2022
DOI: 10.56827/seajmms.2022.1803.23
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Computation of Wiener Index, Reciprocal Wiener Index and Peripheral Wiener Index Using Adjacency Matrix

Abstract: In this short paper, we establish formulae to compute Wiener index, reciprocal Wiener index and peripheral Wiener index of graphs using adjacency matrix. Further, we present algorithms for the same

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Cited by 2 publications
(1 citation statement)
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“…The Wiener index W (G) of a connected graph G is defined to be the sum of distances between all vertex pairs in G. The Wiener index is substantially used in theoretical chemistry for the design of quantitative structure-property relations (mainly with physico-chemical properties) and quantitative structure-activity relations including biological activities of the respective chemical compounds. For new topological indices, we suggest the reader to refer the papers [7], [9][10][11][12]. Rajendra et al [13] have recently introduced the concept of peripheral geodesic index.…”
Section: Introductionmentioning
confidence: 99%
“…The Wiener index W (G) of a connected graph G is defined to be the sum of distances between all vertex pairs in G. The Wiener index is substantially used in theoretical chemistry for the design of quantitative structure-property relations (mainly with physico-chemical properties) and quantitative structure-activity relations including biological activities of the respective chemical compounds. For new topological indices, we suggest the reader to refer the papers [7], [9][10][11][12]. Rajendra et al [13] have recently introduced the concept of peripheral geodesic index.…”
Section: Introductionmentioning
confidence: 99%