Individual variations lead to universal and cross-species patterns of social behavior.
heavy-tailed distribution
individuality
social network
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
15 12 2020
15 12 2020
Historique:
pubmed:
2
12
2020
medline:
30
1
2021
entrez:
1
12
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33257554
pii: 2002013117
doi: 10.1073/pnas.2002013117
pmc: PMC7749354
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
31754-31759Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM117467
Pays : United States
Déclaration de conflit d'intérêts
The authors declare no competing interest.
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