Evidence map›Paper›PMID 33257554›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Individual variations lead to universal and cross-species patterns of social behavior.

Sang Hyun Choi, Vikyath D Rao, Tim Gernat, Adam R Hamilton, Gene E Robinson, Nigel Goldenfeld

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sang Hyun ChoiDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-2363-6699
Vikyath D RaoDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Tim GernatCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-5977-3900
Adam R HamiltonCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Gene E RobinsonCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0003-4828-4068
Nigel GoldenfeldDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801; nigel@illinois.edu.ORCID 0000-0002-6322-0903

Funding

Emergence of collective multi-level network dynamics in a model society: From brain transcriptome to social behaviorR01GM117467 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GOLDENFELD, NIGEL, ROBINSON, GENE E · 2015 to 2017
$1.2M
NIGMS NIH HHS R01 GM117467
6 · The paper itself

Abstract

The duration of interaction events in a society is a fundamental measure of its collective nature and potentially reflects variability in individual behavior. Here we performed a high-throughput measurement of trophallaxis and face-to-face event durations experienced by a colony of honeybees over their entire lifetimes. The interaction time distribution is heavy-tailed, as previously reported for human face-to-face interactions. We developed a theory of pair interactions that takes into account individual variability and predicts the scaling behavior for both bee and extant human datasets. The individual variability of worker honeybees was nonzero but less than that of humans, possibly reflecting their greater genetic relatedness. Our work shows how individual differences can lead to universal patterns of behavior that transcend species and specific mechanisms for social interactions.

Indexed as

Biological Variation, IndividualModels, BiologicalSocial BehaviorSocial InteractionAnimalsBeesBehavior, AnimalDatasets as TopicHigh-Throughput Screening AssaysHumansIndividualityTime Factorsheavy-tailed distributionindividualitysocial network

Identifiers

PMID33257554
PMCPMC7749354

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.