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Global Clustering Coefficient of the Join and Corona of Graphs

  • Remarl Joseph M. Damalerio
  • Rolito G. Eballe
  • Cherry Mae R. Balingit
  • Isagani S. Cabahug Jr.
  • Ann Leslie V. Flores

Asian Research Journal of Mathematics, Page 128-140
DOI: 10.9734/arjom/2022/v18i12632
Published: 28 December 2022

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Abstract


The global clustering coefficient is one of the most useful indices in complex network analysis. It is another metric that somehow measures how close a graph from being a complete graph. In this paper we present some expressions for the global clustering coefficient of the join G v H and corona G o H of arbitrary simple and undirected graphs G and H. As corollaries to these results, we will show that for the path Pm, cycle Cm, fan Fm, and wheel Wm, both Cc(Pm v Pm) and Cc(Cm v Cm) approach to 0 as m increases without bound, while Cc(Fm), Cc(Wm), Cc(Pm o Pm), and Cc(Cm o Cm) all approach to 2/3.


Keywords:
  • Clustering coefficient
  • join
  • vertex corona
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How to Cite

Damalerio, R. J. M., Eballe, R. G., Balingit, C. M. R., Cabahug Jr., I. S., & Flores, A. L. V. (2022). Global Clustering Coefficient of the Join and Corona of Graphs. Asian Research Journal of Mathematics, 18(12), 128-140. https://doi.org/10.9734/arjom/2022/v18i12632
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