Back to Search
Start Over
Reconstruction of evolved dynamic networks from degree correlations.
- Source :
-
Physical Review E . Jun2016, Vol. 93 Issue 6, p1-1. 1p. - Publication Year :
- 2016
-
Abstract
- We study the importance of local structural properties in networks which have been evolved for a power-law scaling in their Laplacian spectrum. To this end, the degree distribution, two-point degree correlations, and degree-dependent clustering are extracted from the evolved networks and used to construct random networks with the prescribed distributions. In the analysis of these reconstructed networks it turns out that the degree distribution alone is not sufficient to generate the spectral scaling and the degree-dependent clustering has only an indirect influence. The two-point correlations are found to be the dominant characteristic for the power-law scaling over a broader eigenvalue range. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 24700045
- Volume :
- 93
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Physical Review E
- Publication Type :
- Academic Journal
- Accession number :
- 119570481
- Full Text :
- https://doi.org/10.1103/PhysRevE.93.062306