dc.creatorCarro, A.
dc.creatorVazquez, Federico
dc.creatorToral, R.
dc.creatorSan Miguel, M.
dc.date2014-04
dc.date2020-08-05T12:52:37Z
dc.date.accessioned2023-07-14T19:48:05Z
dc.date.available2023-07-14T19:48:05Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/101379
dc.identifierhttps://ri.conicet.gov.ar/11336/32345
dc.identifierhttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.062802
dc.identifierissn:1539-3755
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7436738
dc.descriptionWe study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the majority rule or zero-temperature Glauber dynamics, in which links adopt the state of the majority of their neighboring links in the network. Additionally, a link that is in a local minority is rewired to a randomly chosen node. While large systems evolving under the majority rule alone always fall into disordered topological traps composed by frustrated links, any amount of rewiring is able to drive the network to complete order, by relinking frustrated links and so releasing the system from traps. However, depending on the relative rate of the majority rule and the rewiring processes, the system evolves towards different ordered absorbing configurations: either a one-component network with all links in the same state or a network fragmented in two components with opposite states. For low rewiring rates and finite-size networks there is a domain of bistability between fragmented and nonfragmented final states. Finite-size scaling indicates that fragmentation is the only possible scenario for large systems and any nonzero rate of rewiring.
dc.descriptionInstituto de Física de Líquidos y Sistemas Biológicos
dc.formatapplication/pdf
dc.format1-10
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Astronómicas
dc.subjectFísica
dc.subjectLink states
dc.subjectGaluber dynamics
dc.subjectTopological traps
dc.subjectFragmentation
dc.titleFragmentation transition in a coevolving network with link-state dynamics
dc.typeArticulo
dc.typeArticulo


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