TY  - JOUR
IS  - 3-4
KW  - PACS: 89.75.Hc Networks and genealogical trees - 05.65.+b Self-organized systems 
A1  - Caldarelli, Guido
A1  - Capocci, Andrea
A1  - Garlaschelli, Diego
UR  - http://dx.doi.org/10.1140/epjb/e2008-00243-5
JF  - The European Physical Journal B
Y1  - 2008///
VL  - 64
ID  - eprints1092
EP  - 591
SP  - 585
TI  - A self-organized model for network evolution
N2  - Here we provide a detailed analysis, along with some extensions and additonal investigations, of a recently proposed [1] self-organized model for the evolution of complex networks. Vertices of the network are characterized by a fitness variable evolving through an extremal dynamics process, as in the Bak-Sneppen [2] model representing a prototype of Self-Organized Criticality. The network topology is in turn shaped by the fitness variable itself, as in the fitness network model [3]. The system self-organizes to a nontrivial state, characterized by a power-law decay of dynamical and topological quantities above a critical threshold. The interplay between topology and dynamics in the system is the key ingredient leading to an unexpected behaviour of these quantities. 
AV  - none
SN  - 1434-6028
ER  -