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dc.contributor.author
Baglietto, Gabriel  
dc.contributor.author
Vazquez, Federico  
dc.date.available
2019-11-20T14:30:12Z  
dc.date.issued
2018-03  
dc.identifier.citation
Baglietto, Gabriel; Vazquez, Federico; Flocking dynamics with voter-like interactions; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2018; 3; 3-2018  
dc.identifier.issn
1742-5468  
dc.identifier.uri
http://hdl.handle.net/11336/89276  
dc.description.abstract
We study the collective motion of a large set of self-propelled particles subject to voter-like interactions. Each particle moves on a 2D space at a constant speed in a direction that is randomly assigned initially. Then, at every step of the dynamics, each particle adopts the direction of motion of a randomly chosen neighboring particle. We investigate the time evolution of the global alignment of particles measured by the order parameter j, until complete order j=1.0 is reached (polar consensus). We find that j increases as t^ 1/2 for short times and approaches 1.0 exponentially fast for longer times. Also, the mean time to consensus τ varies non-monotonically with the density of particles ρ, reaching a minimum at some intermediate density ρmin. At ρmin , the mean consensus time scales with the system size N as τmin ≈ N^0.765 , and thus the consensus is faster than in the case of all-to-all interactions (large ρ) where τ=2N . We show that the fast consensus, also observed at intermediate and high densities, is a consequence of the segregation of the system into clusters of equally-oriented particles which breaks the balance of transitions between directional states in well mixed systems.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
IOP Publishing  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Scaling in socio-economic systems  
dc.subject
Self-propelled particles  
dc.subject
Stochastic particle dynamics  
dc.subject
Stochastic processes  
dc.subject
Scaling in socio-economic systems  
dc.subject
Self-propelled particles  
dc.subject.classification
Otras Ciencias Físicas  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Flocking dynamics with voter-like interactions  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-17T20:14:02Z  
dc.journal.volume
2018  
dc.journal.number
3  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Baglietto, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina  
dc.description.fil
Fil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina  
dc.journal.title
Journal of Statistical Mechanics: Theory and Experiment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/1742-5468/aaac3e  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1088/1742-5468/aaac3e