Asymptotic formula on average path length of fractal networks modelled on Sierpinski Gasket
Fei Gao, Anbo Le, Lifeng Xi, Shuhua Yin

TL;DR
This paper presents a new method for constructing evolving networks based on the Sierpinski gasket, deriving an asymptotic formula for their average path length using self-similarity and renewal theory.
Contribution
It introduces a novel network model inspired by fractal geometry and provides an analytical asymptotic formula for average path length.
Findings
Asymptotic formula for average path length derived
Network model based on Sierpinski gasket constructed
Utilizes self-similarity and renewal theorem techniques
Abstract
In this paper, we introduce a new method to construct evolving networks based on the construction of the Sierpinski gasket. Using self-similarity and renewal theorem, we obtain the asymptotic formula for average path length of our evolving networks.
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
TopicsComplex Network Analysis Techniques · Mathematical Dynamics and Fractals · Topological and Geometric Data Analysis
