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Beehive scale-free emergent dynamics.

Ivan Shpurov1, Tom Froese1, Dante R Chialvo2,3

  • 1Okinawa Institute of Science and Technology Graduate University, Embodied Cognitive Science Unit, Tancha, Okinawa, Japan.

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Summary
This summary is machine-generated.

Honeybee colony dynamics reveal complex system behavior. The hive self-adjusts to an optimal density, similar to traffic flow near a jamming transition, for efficient throughput.

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Area of Science:

  • Complex systems biology
  • Collective animal behavior
  • Social insect dynamics

Background:

  • Social insects, like honeybees, exhibit emergent collective dynamics akin to other complex systems.
  • Understanding hive behavior is crucial for comprehending self-organization in biological systems.

Approach:

  • Analyzed a dataset tracking thousands of honeybees' positions over multiple days.
  • Investigated spatial and temporal correlations in hive occupancy density fluctuations.

Key Points:

  • Honeybee hive dynamics display long-range spatial and temporal correlations in occupancy density.
  • A non-monotonic relationship between density and bee flow was observed, mirroring traffic dynamics near jamming.
  • This suggests the beehive self-organizes near a critical point for optimal performance.

Conclusions:

  • Beehive collective dynamics appear self-adjusted towards optimal density for maximum throughput.
  • The findings highlight universal principles of self-organization in complex systems, exemplified by social insects.