Spectral similarity for Barabási–Albert and Chung–Lu models

Adam Glos

Physica A: Statistical Mechanics and its Applications, 2019, vol. 516, issue C, 571-578

Abstract: In the paper we have analyzed spectral similarity between Barabási–Albert and Chung-Lu models. We have shown the similarity of spectral distribution for sufficiently large Barabási–Albert parameter value. Contrary, extreme eigenvalues and principal eigenvector are not similar for those model. We provide applications of obtained results related to the spectral graph theory and efficiency of quantum spatial search.

Keywords: Random graphs; Spectral distribution; Expected degree random graph; Scale-free graphs (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118313980
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:516:y:2019:i:c:p:571-578

DOI: 10.1016/j.physa.2018.10.050

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().