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The topological index is a molecular predictor that is commonly supported
in the research of QSAR of pharmaceuticals to numerically quantify their
molecular features. Entropic network measures are a class of topological
descriptors with applications that range from quantitative characterization
of a molecular structure to the study of certain chemical properties of
molecular graphs. This paper focuses on computing analytical expressions
of degree-based entropy measures for polycyclic aromatic hydrocarbons.
The numerical values of the entropy measures computed in this paper also
provide an insight into the relationship between the entropy measures
and the molecular structure.
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