A Self-organized model for network evolution

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dc.creatorCaldarelli, Guido
dc.creatorCapocci, Andrea
dc.creatorGarlaschelli, Diego
dc.date2008-05-02
dc.date.accessioned2026-07-07T09:58:58Z
dc.date.available2026-07-07T09:58:58Z
dc.descriptionHere 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.
dc.identifierhttps://arxiv.org/abs/0805.0215
dc.identifierhttp://arxiv.org/abs/0805.0215
dc.identifierEuropean Physical Journal B 64, 585-591 (2008).
dc.identifierdoi:10.1140/epjb/e2008-00243-5
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/167875
dc.subjectPhysics and Society
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.subjectAdaptation and Self-Organizing Systems
dc.titleA Self-organized model for network evolution
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