In graph theory, a topological index is a numerical value that is in good correlation with certain physical properties of a molecule. It serves as an indicator of how a chemical structure behaves. The Shannon’s entropy describes a comparable loss of data in information transmission networks. It has found use in the field of information theory. Inspired by the concept of Shannon’s entropy, we have calculated some topological descriptors for fractal and Cayley-type dendrimer trees. We also find the entropy that is predicted by these indices.</div
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...