A molecular network or structure can be linked to different physical properties, chemical reactivity, or biological activity using a topological descriptor, also known as an index, which is a numerical number that correlates to chemical composition. Because they help distinguish and comprehend physicochemical features, uncover structure-activity connections, and design pharmaceutical medications, topological descriptors are essential in the field of chemistry. A molecular structure can be represented as a network that can be analyzed using mathematical techniques called molecular descriptors. The degree-based index examines mathematical figures to gain insight into specific molecular physicochemical characteristics. This study focuses on the degree based topological indices, specifically the Sombor index of chemical networks. Numerous topological indices with diverse applications in chemistry have been reported in literature. For instance, vertex degrees in a graph are utilized in the calculation of the Sombor index. In this research we computed the Sombor indices of networks, such as flabellum graphs, rhenium trioxide lattices, silicate, chain silicate, and star silicate, as molecular descriptors to aid in comprehending the physicochemical properties of molecules.