COMPUTING SOME DISTANCE – BASED TOPOLOGICAL INDICES OF THE CLUSTER CORONA PRODUCT OF KM AND CNimage: https://doi.org/10.65725/JCISE/2/3/004
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE) 
ISSN: 3107-8168
Volume 2 Issue 3, Jul-Sep 2026

Abstract: 
Distance-based topological indices are graph invariants that characterize graph structures using vertex distances. In this paper, we derive closed-form expressions for several distance-based topological indices of the cluster product of complete graphs and cycle graphs. The obtained results contribute to the theoretical study of graph products and provide a basis for further investigations of other graph classes and distance-based descriptors.
MSC : 05C76, 05C10, 05C38

Authors: Giridharan K, Maragathavalli S, Sureshkumar R

Keywords: Wiener index, Hyper – Wiener Index, Harary Index, Reciprocal Complementary Wiener Index, Sum Connectivity Index, Batschelet Index, Reverse Wiener Index and Reciprocal Reverse Wiener Index, Wiener Polarity index, Eccentricity index and Cluster Product.