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

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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]

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. https://doi.org/10.7924/r4bz67v25

Creator: Archie, Elizabeth A.
Alberts, Susan C.
Lerch, Brian A.
Abbott, Karen C.
DOI: 10.7924/r4bz67v25
Subject: Primates
Baboons
Behavioral ecology
Collective decision making
Social networks
Publication Date: May 19, 2021
ARK: ark:/87924/r4bz67v25
Contributor: Mututua, R. S.
Sayialel, S.N.
Warutere, J.K.
Siodi, L.I.
Is Replaced By: 10.7924/r4wm1cb55
Affiliation: Evolutionary Anthropology
Case Western Reserve University
University of North Carolina at Chapel Hill
Biology
University of Notre Dame
Publisher: Duke Research Data Repository
Collection Dates: 1987-2015
Language: English
Type: Dataset
Format: CSV
PDF
Funding Agency: National Institutes of Health
National Science Foundation
Grant Number: NIH R01AG053308
NSF IOS 1456832
NIH R01HD088558
NIH R01AG053330
NIH P01AG031719
Contact: Susan Alberts: 0000-0002-1313-488X, 919-884-8714, alberts@duke.edu
License: Creative Commons CC0 1.0 Universal
Title: Data from: Better baboon breakups: collective decision theory of complex social network fissions
License: http://creativecommons.org/publicdomain/zero/1.0/
Repository: Duke Research Data Repository

Title	Date Uploaded	Visibility
Anonymized grooming and ranks data	2021-05-19	Public
Code	2021-05-19	Public
Simulated data	2021-05-19	Public

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

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