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

45 files (7.76 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. V2 https://doi.org/10.7924/r4wm1cb55

Creator

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

DOI

• 10.7924/r4wm1cb55

Subject

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

Publication Date

• September 16, 2021

ARK

• ark:/87924/r4wm1cb55

Contributor

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

Replaces

• 10.7924/r4bz67v25

Is Replaced By

• 10.7924/r4cr5x93m

Affiliation

• Evolutionary Anthropology
• University of North Carolina at Chapel Hill. Department of Biology
• University of Notre Dame. Biology Department
• Biology
• Case Western Reserve University. Department of Biology

Publisher

• Duke Research Data Repository

Collection Dates

• 1987-2015

Language

• English

Type

• Dataset

Format

• NB
• CSV
• PDF

Provenance

• Version 2 provides updated replication code and simulated data reflecting changes made to the associated manuscript.

Funding Agency

• National Science Foundation
• NIH

Grant Number

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

Contact

• Susan Alberts: alberts@duke.edu, ORCID: 0000-0002-1313-488X

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

• Files
• Readme

Thumbnail	Title	Date Uploaded	Visibility	Actions
	Anonymized grooming and ranks data	2021-09-16	Public
	Code	2021-09-16	Public
	Simulated data	2021-09-16	Public

README or associated documentation cannot be displayed. Please reference the file list.

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