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A physics perspective on collective animal behavior.

Nicholas T Ouellette
Published in: Physical biology (2022)
The dynamic patterns and coordinated motion displayed by groups of social animals are a beautiful example of self-organization in natural far-from-equilibrium systems. Recent advances in active-matter physics have enticed physicists to begin to consider how their results can be extended from microscale physical or biological systems to groups of real, macroscopic animals. At the same time, advances in measurement technology have led to the increasing availability of high-quality empirical data for the behavior of animal groups both in the laboratory and in the wild. In this review, I survey this available data and the ways that it has been analyzed. I then describe how physicists have approached synthesizing, modeling, and interpreting this information, both at the level of individual animals and at the group scale. In particular, I focus on the kinds of analogies that physicists have made between animal groups and more traditional areas of physics.
Keyphrases
  • electronic health record
  • mental health
  • healthcare
  • big data
  • physical activity
  • data analysis
  • health information
  • molecular dynamics simulations
  • social media