Beehive scale-free emergent dynamics.

Autor: Shpurov I; Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology Graduate University, Tancha, Okinawa, Japan. ivan.shpurov@oist.jp., Froese T; Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology Graduate University, Tancha, Okinawa, Japan., Chialvo DR; Instituto de Ciencias Físicas (ICIFI-CONICET), Center for Complex Systems and Brain Sciences (CEMSC3), Escuela de Ciencia y Tecnología, Universidad Nacional de Gral. San Martín, Campus Miguelete, San Martín, Buenos Aires, Argentina.; Consejo Nacional de Investigaciones Científcas y Tecnológicas (CONICET), Buenos Aires, Argentina.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Jun 11; Vol. 14 (1), pp. 13404. Date of Electronic Publication: 2024 Jun 11.
DOI: 10.1038/s41598-024-64219-w
Abstrakt: It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems. In this note, we study a previously published data set in which the positions of thousands of honeybees in a hive are individually tracked over multiple days. The results show that the hive dynamics exhibit long-range spatial and temporal correlations in the occupancy density fluctuations, despite the characteristic short-range bees' mutual interactions. The variations in the occupancy unveil a non-monotonic function between density and bees' flow, reminiscent of the car traffic dynamic near a jamming transition at which the system performance is optimized to achieve the highest possible throughput. Overall, these results suggest that the beehive collective dynamics are self-adjusted towards a point near its optimal density.
(© 2024. The Author(s).)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje