Beehive scale-free emergent dynamics.
| Autor: | Shpurov I; Okinawa Institute of Science and Technology Graduate University, Embodied Cognitive Science Unit, Tancha, Okinawa, Japan., Froese T; Okinawa Institute of Science and Technology Graduate University, Embodied Cognitive Science Unit, 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. |
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| Jazyk: | angličtina |
| Zdroj: | ArXiv [ArXiv] 2023 Nov 28. Date of Electronic Publication: 2023 Nov 28. |
| 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. |
| Databáze: | MEDLINE |
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