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Recursive weighted treelike networks

Author
ZHONGZHI ZHANG1 2 ; SHUIGENG ZHOU1 2 ; LICHAO CHEN1 2 ; JIHONG GUAN3 ; LUJUN FANG1 2 ; YICHAO ZHANG4
[1] Department of Computer Science and Engineering, Fudan University, Shanghai 200433, China
[2] Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai 200433, China
[3] Department of Computer Science and Technology, Tongji University, 4800 Cao'an Road, Shanghai 201804, China
[4] School of Material and Engineering, Shanghai University, Shanghai 200072, China
Source

The European physical journal. B, Condensed matter physics. 2007, Vol 59, Num 1, pp 99-107, 9 p ; ref : 67 ref

ISSN
1434-6028
Scientific domain
Condensed state physics; Theoretical physics
Publisher
EDP sciences, Les Ulis / Springer, Berlin
Publication country
France
Document type
Article
Language
English
Keyword (fr)
Loi puissance Modèle géométrique Méthode analytique Méthode empirique Méthode récursive Structure réseau Système complexe
Keyword (en)
Power law Geometrical model Analytical method Empirical method Recursion method Network structure Complex system
Keyword (es)
Ley poder Modelo geométrico Método analítico Método empírico Sistema complejo
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00E Statistical physics, thermodynamics, and nonlinear dynamical systems / 001B00E45 Nonlinear dynamics and nonlinear dynamical systems

Discipline
Theoretical physics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19171252

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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