Complex Network Structure of Flocks in the Standard Vicsek Model |
| |
Authors: | Gabriel Baglietto Ezequiel V. Albano Julián Candia |
| |
Affiliation: | 1. Instituto de Física de Líquidos y Sistemas Biológicos, CONICET, UNLP, 59 Nro 789, 1900, La Plata, Argentina 2. Facultad de Ingeniería, UNLP, La Plata, Argentina 3. Physics Laboratory, Istituto Superiore di Sanità, Gr. Coll. Roma I, V.le Regina Elena 299, 00161, Roma, Italy 4. Departamento de Física, Facultad de Ciencias Exactas, UNLP, La Plata, Argentina 5. Department of Physics, University of Maryland, College Park, MD, 20742, USA
|
| |
Abstract: | In flocking models, the collective motion of self-driven individuals leads to the formation of complex spatiotemporal patterns. The Standard Vicsek Model (SVM) considers individuals that tend to adopt the direction of movement of their neighbors under the influence of noise. By performing an extensive complex network characterization of the structure of SVM flocks, we show that flocks are highly clustered, assortative, and non-hierarchical networks with short-tailed degree distributions. Moreover, we also find that the SVM dynamics leads to the formation of complex structures with an effective dimension higher than that of the space where the actual displacements take place. Furthermore, we show that these structures are capable of sustaining mean-field-like orientationally ordered states when the displacements are suppressed, thus suggesting a linkage between the onset of order and the enhanced dimensionality of SVM flocks. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|