Minimum Zagreb Eccentricity Indices of Two-Mode Network with Applications in Boiling Point and Benzenoid Hydrocarbons

Abstract

A two-mode network is a type of network in which nodes can be divided into two sets in such a way that links can be established between different types of nodes. The relationship between two separate sets of entities can be modeled as a bipartite network. In computer networks data is transmitted in form of packets between source to destination. Such packet-switched networks rely on routing protocols to select the best path. Configurations of these protocols depends on the network acquirements; that is why one routing protocol might be efficient for one network and may be inefficient for a other. Because some protocols deal with hop-count (number of nodes in the path) while others deal with distance vector. This paper investigates the minimum transmission in two-mode networks. Based on some parameters, we obtained the minimum transmission between the class of all connected n-nodes in bipartite networks. These parameters are helpful to modify or change the path of a given network. Furthermore, by using least squares fit, we discussed some numerical results of the regression model of the boiling point in benzenoid hydrocarbons. The results show that the correlation of the boiling point in benzenoid hydrocarbons of the first Zagreb eccentricity index gives better result as compare to the correlation of second Zagreb eccentricity index. In case of a connected network, the first Zagreb eccentricity index ξ1(ℵ) is defined as the sum of the square of eccentricities of the nodes, and the second Zagreb eccentricity index ξ2(ℵ) is defined as the sum of the product of eccentricities of the adjacent nodes. This article deals with the minimum transmission with respect to ξi(ℵ), for i=1,2 among all n-node extremal bipartite networks with given matching number, diameter, node connectivity and link connectivity.

Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications

“…The Zagreb type indices contributed tremendously in the various fields which can be seen in 16 – 21 . The details on other degree based molecular descriptors and structures are given in 22 – 27 .…”

QSPR Analysis of Drugs for Treatment of Schizophrenia Using Topological Indices

“…Vertices of graphs represent atoms, and edges represent the bonds between atoms. Computing and the applications of topological indices have recently become active research areas. − In this work, we use several topological indices of various antischizophrenic drugs to determine their physical properties and chemical reactivity. QSPR models are built by using topological indices and linear regression for drugs used for the treatment of schizophrenia.…”

Network-Based Modeling of the Molecular Topology of Fuchsine Acid Dye with Respect to Some Irregular Molecular Descriptors

“…In quantitative structureproperty relation (QSPR) and quantitative structureactivity relation (QSAR) investigations, these indices are frequently employed to represent the physicochemical properties of chemical compounds [5][6][7][8][9][10][11][12][13]. One can consult references [14][15][16][17][18][19][20][21][22][23][24][25][26] for more information on the topological characterization of microstructure and nanostructure and the importance and applicability of the molecular descriptors. Topological indices include eccentric-based, degree-based, and distance-based indices; here, we are concerned about the degree-based topological indices [27][28][29][30].…”