Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

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

Ramos-Fernandez, G, King, AJ, Beehner, JC, Bergman, TJ, Crofoot, MC, Di Fiore, A, Lehmann, J, Schaffner, CM, Snyder-Mackler, N, Zuberbühler, K, Aureli, F and Boyer, D (2018) Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity. Proceedings of the Royal Society B: Biological Sciences, 285 (1879). ISSN 1471-2954

[img]
Preview
Text
FFD_entropy_paper_resubmission_from_system_shortened.pdf - Accepted Version

Download (701kB) | Preview

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.

Item Type: Article
Additional Information: Gabriel Ramos-Fernandez, 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, Filippo Aureli, Denis Boyer. Quantifying uncertainty due to fission–fusion dynamics as a component of social complexity. Proceedings of the Royal Society B: Biological Sciences available at: http://dx.doi.org/10.1098/rspb.2018.0532
Uncontrolled Keywords: 06 Biological Sciences, 11 Medical And Health Sciences, 07 Agricultural And Veterinary Sciences
Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QL Zoology
Divisions: Natural Sciences and Psychology
Publisher: Royal Society, The
Related URLs:
Date Deposited: 12 Jun 2018 11:28
Last Modified: 27 Sep 2018 00:19
DOI or Identification number: 10.1098/rspb.2018.0532
URI: http://researchonline.ljmu.ac.uk/id/eprint/8830

Actions (login required)

View Item View Item