IFLYSIB   05383
INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
artículos
Título:
Complex Network Structure of Flocks in the Standard Vicsek Model?,
Autor/es:
GABRIEL BAGLIETTO,; E V ALBANO; CANDIA, J
Revista:
JOURNAL OF STATISTICAL PHYSICS
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2013 vol. 153 p. 270 - 288
ISSN:
0022-4715
Resumen:
In flocking models, the collective motion of self-driven individuals leads to theformation of complex spatiotemporal patterns. The Standard Vicsek Model (SVM) considersindividuals that tend to adopt the direction of movement of their neighbors under theinfluence of noise. By performing an extensive complex network characterization of thestructure of SVM flocks, we show that flocks are highly clustered, assortative, and nonhierarchicalnetworks with short-tailed degree distributions. Moreover, we also find that theSVM dynamics leads to the formation of complex structures with an effective dimensionhigher than that of the space where the actual displacements take place. Furthermore, weshow that these structures are capable of sustaining mean-field-like orientationally orderedstates when the displacements are suppressed, thus suggesting a linkage between the onsetof order and the enhanced dimensionality of SVM flocks.