• Corpus ID: 221397084

The Eigenvalue Distribution of the Watt-Strogatz Random Graph

@article{Nakkirt2020TheED,
  title={The Eigenvalue Distribution of the Watt-Strogatz Random Graph},
  author={Poramate Nakkirt},
  journal={arXiv: Probability},
  year={2020}
}

• Poramate Nakkirt
• Published 1 September 2020
• Mathematics, Computer Science
• arXiv: Probability

This paper studies the eigenvalue distribution of the Watts-Strogatz random graph, which is known as the "small-world" random graph. The construction of the small-world random graph starts with a regular ring lattice of n vertices; each has exactly k neighbors with equally k/2 edges on each side. With probability p, each downside neighbor of a particular vertex will rewire independently to a random vertex on the graph without allowing for self-loops or duplication. The rewiring process starts at the first adjacent neighbor of vertex 1 and continues in an orderly fashion to the farthest downside neighbor of vertex n. Each edge must be considered once. This paper focuses on the eigenvalues of the adjacency matrix A_n, used to represent the small-world random graph. We compute the first moment, second moment, and prove the limiting third moment as n goes to infinity of the eigenvalue distribution.