Comparative Study of Valency-Based Topological Descriptor for Hexagon Star Network

A class of graph invariants referred to today as topological indices are inefficient progressively acknowledged by scientific experts and others be integral assets in the depiction structural phenomena. The structure an interconnection network can represented a graph. In network, vertices represent processor nodes edges links between nodes. Graph play vital feature theory distinguish properties graphs networks. descriptor is numerical total related that portray topology invariant under automorphism. There various uses field basic science. main notable utilization science was Wiener investigation paraffin breaking points. this paper we study newly design hexagon star network. More preciously, have computed variation Randic' R', fourth Zagreb M4, fifth M5, geometric-arithmetic G A, atom-bond connectivity ABC, harmonic H, symmetric division degree SDD, first redefined Zagreb, second third augmented AZI, Albertson Irregularity measures, Reformulated forgotten descriptors for analysis quantitative property relationships (QSPRs) activity (QSARs), important tools approximate predicate biological chemical compounds. We also gave graphical representations comparisons our different results.