Global Clustering Coefficient of the Join and Corona of Graphs
Asian Research Journal of Mathematics,
Page 128-140
DOI:
10.9734/arjom/2022/v18i12632
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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