Relations between average shortest path length and another centralities in graphs
Mikhail Tuzhilin

TL;DR
This paper investigates the relationships between average shortest path length and various centrality measures such as clustering coefficient, radiality, closeness, and stress in simple graphs.
Contribution
It provides analytical relations between average shortest path length and multiple centrality metrics in simple graphs.
Findings
Established formulas linking shortest path length with clustering coefficient.
Derived relations between shortest path length and radiality, closeness, stress centralities.
Enhanced understanding of how centralities influence graph efficiency.
Abstract
Relations between average shortest path length and average clustering coefficient, radiality, closeness and stress centralities were obtained for simple graphs.
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
TopicsAdvanced Graph Theory Research · Graph Labeling and Dimension Problems · Graph theory and applications
