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

• 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

46 files (8.37 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. V5 https://doi.org/10.7924/r4cn7967g

Creator

• Lerch, Brian A
• Archie, Elizabeth A.
• Abbott, Karen C.
• Alberts, Susan C.

DOI

• 10.7924/r4cn7967g

Subject

• Social networks
• Baboons
• Collective decision making
• Primates
• Behavioral ecology

Publication Date

• June 8, 2023

ARK

• ark:/87924/r4cn7967g

Contributor

• Mututua, R. S.
• Siodi, L.I.
• Sayialel, S.N.
• Warutere, J.K.

Replaces

• 10.7924/r4zw1n02x

Affiliation

• Department of Biology, Case Western Reserve University
• Department of Biology, Duke University
• Department of Evolutionary Anthropology, Duke University
• Department of Biological Sciences, University of Notre Dame
• Department of Biology, University of North Carolina at Chapel Hill

Publisher

• Duke Research Data Repository

Collection Dates

• 1987-2015

Language

• English

Type

• Dataset

Format

• PDF
• CSV

Provenance

• Version 5 provides an addition of data to "Anonymized grooming and ranks data" folder

Funding Agency

• NIH
• National Science Foundation

Grant Number

• NSF IOS 1456832
• NIH R01AG053308
• NIH P01AG031719
• NIH R01AG053330
• NIH R01HD088558

Contact

• Susan C. Alberts: https://orcid.org/000-0002-1313-488X, 919-357-6205, 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

Thumbnail	Title	Date Uploaded		Actions
	Anonymized grooming and ranks data	2023-06-08	Public
	Code	2023-06-08	Public
	Simulated data	2023-06-08	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