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arxiv: 0805.0215 · v1 · submitted 2008-05-02 · ⚛️ physics.soc-ph · cond-mat.dis-nn· cond-mat.stat-mech· nlin.AO

A Self-organized model for network evolution

classification ⚛️ physics.soc-ph cond-mat.dis-nncond-mat.stat-mechnlin.AO
keywords modelnetworkfitnessdynamicsevolutionquantitiesself-organizedsystem
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Here we provide a detailed analysis, along with some extensions and additonal investigations, of a recently proposed self-organised model for the evolution of complex networks. Vertices of the network are characterised by a fitness variable evolving through an extremal dynamics process, as in the Bak-Sneppen 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. 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.

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