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Inferring social influence in animal groups across multiple timescales.

Vivek H Sridhar1,2,3,4, Jacob D Davidson1,2,3, Colin R Twomey5,6

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Area of Science:

  • Collective behavior
  • Animal social dynamics
  • Behavioral ecology

Background:

  • Animal behaviors often display complex temporal dynamics across multiple timescales.
  • Studying collective behavior is complicated by behavioral coupling in interacting groups.
  • Existing research often focuses on limited temporal scales accessible to human observation.

Purpose of the Study:

  • To present a novel technique for analyzing time-varying social influence in mobile animal groups across multiple temporal scales.
  • To investigate how the predictive power of factors influencing social interactions changes with the timescale of analysis.

Main Methods:

  • Analysis of pairwise interactions among individuals in mobile animal groups.
  • Case studies using golden shiner fish (aquatic) and homing pigeons (aerial).
  • Examination of social influence across different temporal scales (short vs. long).

Main Results:

  • The predictive power of factors influencing social behavior is timescale-dependent.
  • Short timescales: Relative position is the primary predictor; influence distribution is linear.
  • Longer timescales: Relative position and kinematics predict influence; influence distribution becomes nonlinear, with a few individuals being disproportionately influential.

Conclusions:

  • Different interpretations of social influence emerge depending on the timescale of behavioral analysis.
  • Highlights the critical importance of considering the multiscale nature of social influence in collective animal behavior.
  • Findings contribute to understanding collective behavior dynamics over time.