Study of θ ϕ Networks via Zagreb Connection Indices.

Graph theory can be used to optimize interconnection network systems. The compatibility of such networks mainly depends on their topology. Topological indices may characterize the topology of such networks. In this work, we studied a symmetric network θ ϕ formed by ϕ time repetition of the process of joining θ copies of a selected graph Ω in such a way that corresponding vertices of Ω in all the copies are joined with each other by a new edge. The symmetry of θ ϕ is ensured by the involvement of complete graph K θ in the construction process. The free hand to choose an initial graph Ω and formation of chemical graphs using θ ϕ Ω enhance its importance as a family of graphs which covers all the pre-defined graphs, along with space for new graphs, possibly formed in this way. We used Zagreb connection indices for the characterization of θ ϕ Ω . These indices have gained worth in the field of chemical graph theory in very small duration due to their predictive power for enthalpy, entropy, and acentric factor. These computations are mathematically novel and assist in topological characterization of θ ϕ Ω to enable its emerging use. [ABSTRACT FROM AUTHOR]