Statistical mechanics for natural flocks of birds
Princeton University · Institute for Complex Systems · +3 more institutions
Abstract
Flocking is a typical example of emergent collective behavior, where interactions between individuals produce collective patterns on the large scale. Here we show how a quantitative microscopic theory for directional ordering in a flock can be derived directly from field data. We construct the minimally structured (maximum entropy) model consistent with experimental correlations in large flocks of starlings. The maximum entropy model shows that local, pairwise interactions between birds are sufficient to correctly predict the propagation of order throughout entire flocks of starlings, with no free parameters. We also find that the number of interacting neighbors is independent of flock density, confirming that…
Citation impact
- FWCI
- 82.47
- Percentile
- 100%
- References
- 43
Authors
7- WBWilliam BialekCorresponding
Princeton University
- ACAndrea Cavagna
Institute for Complex Systems, Sapienza University of Rome
- IGIrene Giardina
Institute for Complex Systems, Sapienza University of Rome
- TMThierry Mora
Sorbonne Université
- ESEdmondo Silvestri
Institute for Complex Systems, Sapienza University of Rome
Topics & keywords
- Flock
- Natural (archaeology)
- Statistical mechanics
- Geography
- Mathematics
- Statistical physics
- Ecology
- Biology