2019
DOI: 10.3390/axioms8030098
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A Note on Distance-Based Entropy of Dendrimers

Abstract: This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to all graphs representing the isomers of octane. Taking into account the vertex degree as well (degree-ecc-entropy), we find a good correlation with the acentric factor of octane isomers. In particular, we compute the degree-ecc-entropy for three classes of dendrimer graphs.

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Cited by 5 publications
(2 citation statements)
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“…Problems in web mining, computational chemistry, engineering, and biology are examples of contributions that deal with a network (molecular) structural properties, such as statistical analysis of natural and synthetic chemical structures [19] and entropy and complexity of different graphs [20,21]. In 2019, Ghorbani et al [22] introduced a new entropy measure of a graph which involves the degree of the vertices and eccentricity known as eccentricity entropy. Before recalling this entropy measure, we recall relevant basic notions for a graph.…”
Section: Introductionmentioning
confidence: 99%
“…Problems in web mining, computational chemistry, engineering, and biology are examples of contributions that deal with a network (molecular) structural properties, such as statistical analysis of natural and synthetic chemical structures [19] and entropy and complexity of different graphs [20,21]. In 2019, Ghorbani et al [22] introduced a new entropy measure of a graph which involves the degree of the vertices and eccentricity known as eccentricity entropy. Before recalling this entropy measure, we recall relevant basic notions for a graph.…”
Section: Introductionmentioning
confidence: 99%
“…al. [19] formulated new distance (eccentricity), and eccentricity degree based entropy for molecular graphs namely, ecc‐entropy and ecc‐deg entropy. These entropies have vital significance due to their stronger prediction ability and highly correlated with ecc‐entropy alongside acentric factor of isomers (octane) which indicate one can study physical properties by calculating ecc‐deg entropy of different chemical structures [20–22].…”
Section: Introductionmentioning
confidence: 99%