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4
Trophallaxis-inspired model for distributed transport between randomly interacting agents.受交哺启发的随机相互作用主体间分布式传输模型。
Phys Rev E. 2017 Aug;96(2-1):022111. doi: 10.1103/PhysRevE.96.022111. Epub 2017 Aug 7.
5
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.使用可穿戴式接近传感器对肯尼亚农村家庭环境中的社交接触进行量化。
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Ant trophallactic networks: simultaneous measurement of interaction patterns and food dissemination.蚂蚁交哺网络:相互作用模式与食物传播的同步测量
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Revealing the hidden networks of interaction in mobile animal groups allows prediction of complex behavioral contagion.揭示移动动物群体中隐藏的互动网络有助于预测复杂的行为传播。
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个体差异导致了普遍存在且跨物种的社会行为模式。

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

机构信息

Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801.

Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.

出版信息

Proc Natl Acad Sci U S A. 2020 Dec 15;117(50):31754-31759. doi: 10.1073/pnas.2002013117. Epub 2020 Nov 30.

DOI:10.1073/pnas.2002013117
PMID:33257554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7749354/
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.

摘要

社会中互动事件的持续时间是其集体性质的基本衡量标准,并且可能反映了个体行为的可变性。在这里,我们对一个蜜蜂群体在其整个生命周期中经历的营养交换和面对面事件的持续时间进行了高通量的测量。与之前报道的人类面对面互动一样,交互时间分布呈重尾分布。我们开发了一种考虑个体可变性的对相互作用的理论,并预测了蜜蜂和现存人类数据集的标度行为。工蜂的个体可变性不为零,但小于人类的个体可变性,这可能反映了它们更高的遗传相关性。我们的工作表明,个体差异如何导致超越物种的行为的普遍模式,以及社会互动的具体机制。