Abstract
The graph entropy is an important quantity of information theory. It measures the structural information of chemical graphs and complex networks. The graph entropy measures have specific chemical applications in discrete mathematics, biology and chemistry. The main contribution of this paper is to study properties of graph entropies and then goes on to discuss the structure of hyaluronic acid (HA)–curcumin conjugates. Also we compute entropies of this structure by using certain degree-based topological indices with the help of information function.
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