论文标题

分析行为的社会传播:将复杂的传染集成到基于网络的扩散中

Analysing the Social Spread of Behaviour: Integrating Complex Contagions into Network Based Diffusions

论文作者

Firth, Josh A., Albery, Gregory F., Beck, Kristina B., Jarić, Ivan, Spurgin, Lewis G., Sheldon, Ben C., Hoppitt, Will

论文摘要

社会学习行为的传播发生在许多动物物种中,了解行为如何传播可以为社会性的原因和后果提供新颖的见解。在野生种群中,通常认为行为传播是作为“简单传染”而发生的。然而,新兴的证据表明,行为可能经常作为“复杂的传染”传播,这对传播的模式和程度产生了重大影响。我们提出了一个新的框架,可以通过将社会学习策略整合到基于网络的扩散分析中,从而对行为传染进行全面检查。我们展示了我们的方法如何允许确定社会纽带与行为传播之间的关系,对个人级别传播规则的识别以及检查人口级别的社会结构效应。我们提供允许跨不同系统的一般应用的资源,并证明如何如何进行特定于研究的发展。最后,我们概述了该框架促进的新机会,对了解社会性的概念贡献及其在各个领域的应用。

The spread of socially-learnt behaviours occurs in many animal species, and understanding how behaviours spread can provide novel insights into the causes and consequences of sociality. Within wild populations, behaviour spread is often assumed to occur as a "simple contagion". Yet, emerging evidence suggests behaviours may frequently spread as "complex contagions", and this holds significant ramifications for the modes and extent of transmission. We present a new framework enabling comprehensive examination of behavioural contagions by integrating social-learning strategies into network-based diffusion analyses. We show how our approach allows determination of the relationship between social bonds and behavioural transmission, identification of individual-level transmission rules, and examination of population-level social structure effects. We provide resources that allow general applications across diverse systems, and demonstrate how further study-specific developments can be made. Finally, we outline the new opportunities this framework facilitates, the conceptual contributions to understanding sociality, and its applications across fields.

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