On Entropy of Some Fractal Structures

Shannon entropy, also known as information entropy or measures the uncertainty randomness of probability distribution. Entropy is measured in bits, quantifying average amount required to identify an event from Shannon’s theory initiates graph entropies and develops information-theoretic magnitudes for structural computational evidence organic graphs complex networks. Graph measurements are valuable several scientific fields, such computing, chemistry, biology, discrete mathematics. In this study, we investigate fractal-type networks by considering cycle, complete, star base using degree-based topological indices.