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社会昆虫群体中信息流动和疾病传播过程中的社会互动动态:环境事件和空间异质性的影响

Dynamics of social interactions, in the flow of information and disease spreading in social insects colonies: Effects of environmental events and spatial heterogeneity.

作者信息

Guo Xiaohui, Chen Jun, Azizi Asma, Fewell Jennifer, Kang Yun

机构信息

School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.

Simon A. Levin Mathematical, Computational, and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA.

出版信息

J Theor Biol. 2020 May 7;492:110191. doi: 10.1016/j.jtbi.2020.110191. Epub 2020 Feb 6.

Abstract

The relationship between division of labor and individuals' spatial behavior in social insect colonies provides a useful context to study how social interactions influence the spreading of elements (which could be information, virus or food) across distributed agent systems. In social insect colonies, spatial heterogeneity associated with variations of individual task roles, affects social contacts, and thus the way in which agent moves through social contact networks. We used an Agent Based Model (ABM) to mimic three realistic scenarios of elements' transmission, such as information, food or pathogens, via physical contact in social insect colonies. Our model suggests that individuals within a specific task interact more with consequences that elements could potentially spread rapidly within that group, while elements spread slower between task groups. Our simulations show a strong linear relationship between the degree of spatial heterogeneity and social contact rates, and that the spreading dynamics of elements follow a modified nonlinear logistic growth model with varied transmission rates for different scenarios. Our work provides important insights on the dual-functionality of physical contacts. This dual-functionality is often driven via variations of individual spatial behavior, and can have both inhibiting and facilitating effects on elements' transmission rates depending on environment. The results from our proposed model not only provide important insights on mechanisms that generate spatial heterogeneity, but also deepen our understanding of how social insect colonies balance the benefit and cost of physical contacts on the elements' transmission under varied environmental conditions.

摘要

社会昆虫群体中分工与个体空间行为之间的关系为研究社会互动如何影响元素(可能是信息、病毒或食物)在分布式智能体系统中的传播提供了一个有用的背景。在社会昆虫群体中,与个体任务角色变化相关的空间异质性会影响社会接触,进而影响智能体在社会接触网络中的移动方式。我们使用基于智能体的模型(ABM)来模拟社会昆虫群体中元素(如信息、食物或病原体)通过身体接触进行传播的三种现实场景。我们的模型表明,特定任务中的个体之间互动更多,其结果是元素可能在该群体中迅速传播,而元素在任务群体之间传播较慢。我们的模拟显示了空间异质性程度与社会接触率之间存在很强的线性关系,并且元素的传播动态遵循一个修正的非线性逻辑增长模型,不同场景下的传播速率各不相同。我们的工作为身体接触的双重功能提供了重要见解。这种双重功能通常由个体空间行为的变化驱动,并且根据环境的不同,对元素的传播速率可能具有抑制和促进作用。我们提出的模型结果不仅为产生空间异质性的机制提供了重要见解,还加深了我们对社会昆虫群体如何在不同环境条件下平衡身体接触对元素传播的益处和成本的理解。

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