Abstract
Analyzing the structural properties of graphs, networks and particularly complex networks is a research topic with ongoing interest. One of the approaches in studying structural properties is finding quantitative measures that encode structural information of the entire network by a real number. Recently, a number of graph invariants, also known as topological indices, have been used as measures to analyze the whole structure of networks. In this paper, we study a class of large networks named Equilateral Tetra Sheet network \(ETTS_n\) and Hex derived network \(HDN_n\). We give the construction method for these networks and extract its structural properties. Then, we employ a computational technique called edge-cut method to obtain new analytical expressions for certain topological indices, such as, the Wiener index (W) and the generalized Terminal Wiener index \((TW_K \; with \; K=\{\delta , \varDelta \})\). After that, we compare the efficiency of the computed indices by using graphical representations. At the end, we summarize our findings.
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Zeryouh, M., Marraki, M.E., Essalih, M. (2018). Studying the Structure of Some Networks Using Certain Topological Indices. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_44
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DOI: https://doi.org/10.1007/978-3-319-72150-7_44
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