Spectral properties of adjacency and distance matrices for various networks
K. Malarz

TL;DR
This paper analyzes the spectral characteristics of adjacency and distance matrices across different network models, providing analytical results for dense Erdos-Renyi graphs and comparing spectral properties among exponential, scale-free, and classical random networks.
Contribution
It offers a comparative spectral analysis of various network types and derives analytical spectra for dense Erdos-Renyi graphs, advancing understanding of network spectra.
Findings
Spectral properties vary significantly across network types.
Analytical spectra derived for dense Erdos-Renyi graphs.
Comparison highlights differences in spectral distributions.
Abstract
The spectral properties of the adjacency (connectivity) and distance matrix for various types of networks: exponential, scale-free (Albert--Barabasi) and classical random ones (Erdos--Renyi) are evaluated. The graph spectra for dense graph in the Erdos-Renyi model are derived analytically.
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
TopicsRandom Matrices and Applications · Graph theory and applications · Complex Network Analysis Techniques
