Clustering Coefficient of the Tensor Product of Graphs
Remarl Joseph M. Damalerio, Rolito G. Eballe

TL;DR
This paper derives formulas and bounds for the clustering coefficient in tensor product graphs, enhancing understanding of this metric in complex network analysis.
Contribution
It provides new expressions and bounds for the clustering coefficient specifically in tensor product graphs, a less-explored area in graph theory.
Findings
Formulas for clustering coefficient of tensor product of arbitrary, regular, and strongly regular graphs.
A Vizing-type upper bound for the clustering coefficient.
A sharp lower bound for the clustering coefficient.
Abstract
Clustering coefficient is one of the most useful indices in complex networks. However, graph theoretic properties of this metric have not been discussed much in the literature, especially in graphs resulting from some binary operations. In this paper we present some expressions for the clustering coefficient of the tensor product of arbitrary graphs, regular graphs, and strongly regular graphs. A Vizing-type upperbound and a sharp lower bound for the clustering coefficient of the tensor product of graphs are also given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Labeling and Dimension Problems · Graph theory and applications · Limits and Structures in Graph Theory
