A critical phase transition in bee movement dynamics can be modeled using a 2D cellular automata
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913943472046080 |
|---|---|
| author | Shpurov, Ivan Froese, Tom |
| author_facet | Shpurov, Ivan Froese, Tom |
| contents | The collective behavior of numerous animal species, including insects, exhibits scale-free behavior indicative of the critical (second-order) phase transition. Previous research uncovered such phenomena in the behavior of honeybees, most notably the long-range correlations in space and time. Furthermore, it was demonstrated that the bee activity in the hive manifests the hallmarks of the jamming process. We follow up by presenting a discrete model of the system that faithfully replicates some of the key features found in the data - such as the divergence of correlation length and scale-free distribution of jammed clusters. The dependence of the correlation length on the control parameter - density is demonstrated for both the real data and the model. We conclude with a brief discussion on the contribution of the insights provided by the model to our understanding of the insects' collective behavior. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11592 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A critical phase transition in bee movement dynamics can be modeled using a 2D cellular automata Shpurov, Ivan Froese, Tom Quantitative Methods Cellular Automata and Lattice Gases The collective behavior of numerous animal species, including insects, exhibits scale-free behavior indicative of the critical (second-order) phase transition. Previous research uncovered such phenomena in the behavior of honeybees, most notably the long-range correlations in space and time. Furthermore, it was demonstrated that the bee activity in the hive manifests the hallmarks of the jamming process. We follow up by presenting a discrete model of the system that faithfully replicates some of the key features found in the data - such as the divergence of correlation length and scale-free distribution of jammed clusters. The dependence of the correlation length on the control parameter - density is demonstrated for both the real data and the model. We conclude with a brief discussion on the contribution of the insights provided by the model to our understanding of the insects' collective behavior. |
| title | A critical phase transition in bee movement dynamics can be modeled using a 2D cellular automata |
| topic | Quantitative Methods Cellular Automata and Lattice Gases |
| url | https://arxiv.org/abs/2507.11592 |