Experimental data and code for "Consensus formation and change are enhanced by neutrality"

1478 89 18559 2 73505 document 18559 README_LOCUSTS text/plain ecf2a1ee3ed921b7f95743947ad4b7dd MD5 6923 2024-12-11 09:45:43 https://researchdata.bath.ac.uk/1478/1/README_LOCUSTS 1478 1 1 text/plain other A readme file for the locust data and code. en public cc_by

README_LOCUSTS

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README_NUCLEOSOME

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Consent page.pdf

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Participant Information Sheet.pdf

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README_VOTING

documentation 18591 6 73583 document 18591 Nucleosome model.zip application/zip 3cc81d663564b171032c27223d639538 MD5 70624 2024-12-12 08:57:18 https://researchdata.bath.ac.uk/1478/30/Nucleosome%20model.zip 1478 30 30 application/zip other # Consensus formation and change are enhanced by neutrality # # A. Sontag, J. Hoffmann, T. Rogers, and C.A. Yates # ### This folder contains simulation data and code for the analysis of the nucleosome model (see SI Section 7). en public cc_mit

Nucleosome model.zip

code 18593 5 73589 document 18593 Voting experiments.zip application/zip e8ce4fadb994f224615ff964428c2bef MD5 2889085 2024-12-12 09:05:53 https://researchdata.bath.ac.uk/1478/32/Voting%20experiments.zip 1478 32 32 application/zip other # Consensus formation and change are enhanced by neutrality # # A. Sontag, J. Hoffmann, T. Rogers, and C.A. Yates # ### This folder contains data from the voting experiments designed and collected by the authors. It also contains the code used in the analysis of the data. The experiment was coded using the oTree package for Python. en public cc_by

Voting experiments.zip

data 18594 5 73593 document 18594 Locust experiments.zip application/zip 46196ea0a18e99df754feac7fe6cfea1 MD5 5383183394 2024-12-12 09:10:04 https://researchdata.bath.ac.uk/1478/33/Locust%20experiments.zip 1478 33 33 application/zip other # Consensus formation and change are enhanced by neutrality # # A. Sontag, J. Hoffmann, T. Rogers, and C.A. Yates # ### This folder contains data corresponding to locusts experiments by Buhl et al. (2006) as well as code written by the authors to clean the data and perform the analysis presented in the manuscript. en public cc_by

Locust experiments.zip

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FromDisorderToOrderInMarchingLocusts_Locust experiments.zip_AuthorReusePermission_202402_part1.pdf

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FromDisorderToOrderInMarchingLocusts_Locust experiments.zip_AuthorReusePermission_202402_part2.pdf

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indexcodes.txt

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indexcodes.txt

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indexcodes.txt

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indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18597 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18597 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/18597 archive 5317 disk0/00/00/14/78 2026-02-19 13:05:46 2026-04-17 12:54:37 2026-02-19 13:05:46 data_collection show Sontag Andrei ams284@bath.ac.uk 0000-0002-7088-0491 University of Bath FALSE Hoffmann Janina J.A.Hoffmann@bath.ac.uk 0000-0002-6246-2724 University of Bath FALSE Rogers Tim T.C.Rogers@bath.ac.uk 0000-0002-5733-1658 University of Bath FALSE Yates Kit C.Yates@bath.ac.uk 0000-0003-0461-7297 University of Bath TRUE Experimental data and code for "Consensus formation and change are enhanced by neutrality" BD0030 GJ0090 JN0010 dept_psy dept_math_sci human participant voting experiments, switching, consensus formation, locusts, collective motion This dataset contains raw and processed data on a number of experiments on marching locust nymphs in a ring-shaped arena. With sufficiently large densities the locusts exhibit coherent motion and directional switching. The code accompanying that data is for processing the raw data, analysing the processed data and simulating both spatial and non-spatial models of the data. This dataset also contains raw and processed data on a number of experiments into consensus formation in which human participants played an iterated voting game. The code accompanying the data is for processing the raw data, analysing the processed data and simulating mathematical models of the process. This dataset also contains code to simulate a model of nucleosome modification. The model describes the modifications of nucleosomes by recruitment of modifying and unmodifying enzymes from their neighbours or in a ‘recruitment-independent’ (spontaneous) manner. In the model, nucleosomes can be acetylated (A), unmodified (U) or methylated (M), hence A and M represent active states, while U is a neutral state. Effective collective decision-making in human and animal groups requires robust mechanisms for consensus formation and change, typically via feedback loops in which individuals adapt their behaviour and opinions based on their perception of others. Such processes have been observed in the onset of motion in insect swarms and is believed to manifest across scales from nucleosomes to entire societies. However, levels of participation can be highly variable over time, with individuals sometimes adopting neutral positions such as moving to the back of a group or abstaining from a vote. In this work we present a new theoretical and experimental analysis showing that neutrality has two important and hitherto unreported benefits to collective decision making. First, it enables the robust formation of consensus in groups of individuals applying simple linear reasoning, updating their state after consideration of at most one other individual at a time. Second, we find that neutral actors can facilitate efficient consensus change by reducing the effective population size during transitions. These findings are derived from a new general mathematical model of collective binary decision problems, and validated against experiments with insect and human populations. Our results provide a parsimonious explanation of how groups of animals and humans quickly reach and overturn consensus, suggesting efficient solutions to collective decision-making problems. 2026-02-19 University of Bath public RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/L015684/1 EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa) cent_math_bio The methodology can be found in the associated paper. en 1 10.15125/BATH-01478 open Dataset