Universität zu Köln

Karalus, Steffen and Krug, Joachim ORCID: 0000-0002-2143-6490 (2016). Reconstruction of evolved dynamic networks from degree correlations. Phys. Rev. E, 93 (6). COLLEGE PK: AMER PHYSICAL SOC. ISSN 1550-2376

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Karalus, Steffen UNSPECIFIED UNSPECIFIED UNSPECIFIED Krug, Joachim UNSPECIFIED orcid.org/0000-0002-2143-6490 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-272342
DOI:	10.1103/PhysRevE.93.062306
Journal or Publication Title:	Phys. Rev. E
Volume:	93
Number:	6
Date:	2016
Publisher:	AMER PHYSICAL SOC
Place of Publication:	COLLEGE PK
ISSN:	1550-2376
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Physics > Institut für Biologische Physik
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language EVOLUTION; SYNCHRONIZATION Multiple languages Physics, Fluids & Plasmas; Physics, Mathematical Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/27234