Data from: Better baboon breakups: collective decision theory of complex social network fissions

Public

  • Many social groups are made up of complex social networks in which each individual tends to associate with a distinct subset of its groupmates. If social groups increase in size over time, competition often leads to permanent group fission. During such fissions, complex social networks present both a collective decision problem and a multidimensional optimization problem: it is advantageous for each individual to remain with their closest allies after a fission, but impossible for every individual to do so. Here, we develop computational algorithms designed to simulate group fissions in a network theoretic framework. We focus on three fission algorithms ("democracy" "community," and "despotism") that fall on a spectrum from a democratic to a dictatorial collective decision. We parameterize our social networks with data from baboons (Papio cynocephalus) and compare our simulated fissions with actual baboon fission events. We find that the democracy and community algorithms (i.e., egalitarian decisions where each individual influences the outcome) better maintain social networks during simulated fissions than despotic decisions (those driven primarily by a single individual). We also find that egalitarian decisions are good at predicting the observed individual-level outcomes of observed fissions, although the observed fissions often disturbed their social networks more than the simulated egalitarian fissions. ... [Read More]

Total Size
45 files (8.5 MB)
Data Citation
  • Lerch, B. Abbott, K., Archie, E., & Alberts, S. (2021). Data from: Better baboon breakups: collective decision theory of complex social network fissions. Duke Research Data Repository. V4 https://doi.org/10.7924/r4zw1n02x
DOI
  • 10.7924/r4zw1n02x
Publication Date
ARK
  • ark:/87924/r4zw1n02x
Replaces
  • 10.7924/r4cr5x93m
Is Replaced By
  • 10.7924/r4cn7967g
Collection Dates
  • 1987-2015
Location
  • Kenya
Language
Type
Format
Provenance
  • Version 4 provides updated "Anonymized grooming and ranks data" folder reflecting changes made to the files due to individual ID discrepancies.
Funding Agency
  • NIH
  • National Science Foundation
Grant Number
  • NSF IOS 1456832
  • NIH R01AG053308
  • NIH P01AG031719
  • NIH R01AG053330
  • NIH R01HD088558
Contact
Title
  • Data from: Better baboon breakups: collective decision theory of complex social network fissions

Versions

Version DOI Comment Publication Date
5 10.7924/r4cn7967g Version 5 provides an addition of data to "Anonymized grooming and ranks data" folder 2023-06-08
4 10.7924/r4zw1n02x Version 4 provides updated "Anonymized grooming and ranks data" folder reflecting changes made to the files due to individual ID discrepancies. 2023-04-10
3 10.7924/r4cr5x93m Version 3 provides an addition of code to Replication Code.nb 2021-10-26
2 10.7924/r4wm1cb55 Version 2 provides updated replication code and simulated data reflecting changes made to the associated manuscript. 2021-09-16
1 10.7924/r4bz67v25 2021-05-19
This Dataset
Usage Stats