On neighborhood and degree based Symmetric Division deg index for some
Silicate and Oxide Networks
Abstract
In computational chemistry, numbers programming certain structural skin
appearance of natural molecules and derivative from the parallel
molecular graph are called the graph invariants or more frequently
topological indices. Topological indices are numeric quantity that are
derived from a molecular graph by mathematical calculations. In QSAR and
QSPR study, topological indices are utilized to guess the bioactivity of
chemical compounds. The Symmetric Division deg (SDD) is good estimate of
total surface area for polychlorobiphenlys. In this paper we process the
Symmetric Division deg index for Silicate, Oxide and Copper(II) Oxide
network. We compare above network of Symmetric division deg index based
on degree and neighbhourhood.