Evaluation of Connection Number-Based Indices of Networks Derived from Triglycerides

Abstract

Graph theory serves as the fundamental framework for chemical informatics, utilizing topological indices to generate chemical structures and establish connections between real numbers and molecular graphs. In 1974, Gutman and Trinajstic introduced connection-based Zagreb indices as molecular descriptors to analyze the topological properties of chemical compounds. These indices were subsequently named Zagreb indices. Building on this research, Ali et al. further explored the applicability and properties of Zagreb indices in theoretical chemistry and molecular modeling. This thesis specifically focuses on the computation of connection-based number indices for triglycerides, as well as their line and para-line graphs. By studying these indices, the aim is to gain insights into the topological characteristics of triglyceride structures and their corresponding graph representations. This research contributes to the broader field of chemical informatics, providing valuable information for the analysis and modeling of complex molecules.