Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity

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2018
Authors
Ramos-Fernandez, Gabriel
King, Andrew J.
Beehner, Jacinta C.
Bergman, Thore J.
Di Fiore, Anthony
Lehmann, Julia
Schaffner, Colleen M.
Snyder-Mackler, Noah
Zuberbühler, Klaus
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Proceedings of the Royal Society of London, Series B : Biological Sciences ; 285 (2018), 1879. - 20180532. - ISSN 0962-8452. - eISSN 1471-2954
Abstract
Groups of animals (including humans) may show flexible grouping patterns, in which temporary aggregations or subgroups come together and split, changing composition over short temporal scales, (i.e. fission and fusion). A high degree of fission-fusion dynamics may constrain the regulation of social relationships, introducing uncertainty in interactions between group members. Here we use Shannon's entropy to quantify the predictability of subgroup composition for three species known to differ in the way their subgroups come together and split over time: spider monkeys (Ateles geoffroyi), chimpanzees (Pan troglodytes) and geladas (Theropithecus gelada). We formulate a random expectation of entropy that considers subgroup size variation and sample size, against which the observed entropy in subgroup composition can be compared. Using the theory of set partitioning, we also develop a method to estimate the number of subgroups that the group is likely to be divided into, based on the composition and size of single focal subgroups. Our results indicate that Shannon's entropy and the estimated number of subgroups present at a given time provide quantitative metrics of uncertainty in the social environment (within which social relationships must be regulated) for groups with different degrees of fission-fusion dynamics. These metrics also represent an indirect quantification of the cognitive challenges posed by socially dynamic environments. Overall, our novel methodological approach provides new insight for understanding the evolution of social complexity and the mechanisms to cope with the uncertainty that results from fission-fusion dynamics.
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570 Biosciences, Biology
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social complexity, fission–fusion dynamics, social intelligence, social cognition, Shannon's entropy, social uncertainty
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ISO 690RAMOS-FERNANDEZ, Gabriel, Andrew J. KING, Jacinta C. BEEHNER, Thore J. BERGMAN, Margaret C. CROFOOT, Anthony DI FIORE, Julia LEHMANN, Colleen M. SCHAFFNER, Noah SNYDER-MACKLER, Klaus ZUBERBÜHLER, 2018. Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity. In: Proceedings of the Royal Society of London, Series B : Biological Sciences. 285(1879), 20180532. ISSN 0962-8452. eISSN 1471-2954. Available under: doi: 10.1098/rspb.2018.0532
BibTex
@article{RamosFernandez2018Quant-46060,
  year={2018},
  doi={10.1098/rspb.2018.0532},
  title={Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity},
  number={1879},
  volume={285},
  issn={0962-8452},
  journal={Proceedings of the Royal Society of London, Series B : Biological Sciences},
  author={Ramos-Fernandez, Gabriel and King, Andrew J. and Beehner, Jacinta C. and Bergman, Thore J. and Crofoot, Margaret C. and Di Fiore, Anthony and Lehmann, Julia and Schaffner, Colleen M. and Snyder-Mackler, Noah and Zuberbühler, Klaus},
  note={Article Number: 20180532}
}
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