Topological analysis of eccentricity-based invariants for second type of dominating David-derived network

Abstract

The rapid growth of graph theory has sparked interest among analysts, driven by its diverse applications in mathematical chemistry. Closed-form solutions enable rapid property prediction without expensive simulations. This study delves into the second type of dominating David-derived network, which play a vital role in pharmaceutical development, hardware engineering, and system administration. We examine the topological features of the network, calculating distance-based indices like eccentricity measures and the eccentricity based Zagreb indices. Our findings offer novel perspectives on the structural attributes of dominating David-derived network, highlighting their potential impact across various disciplines.