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Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure

机译:在行为和网络结构共同发展诱导的社会转型期间少数民族的聚集边缘化

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Large-scale transitions in societies are associated with both individual behavioural change and restructuring of the social network. These two factors have often been considered independently, yet recent advances in social network research challenge this view. Here we show that common features of societal marginalization and clustering emerge naturally during transitions in a co-evolutionary adaptive network model. This is achieved by explicitly considering the interplay between individual interaction and a dynamic network structure in behavioural selection. We exemplify this mechanism by simulating how smoking behaviour and the network structure get reconfigured by changing social norms. Our results are consistent with empirical findings: The prevalence of smoking was reduced, remaining smokers were preferentially connected among each other and formed increasingly marginalized clusters. We propose that self-amplifying feedbacks between individual behaviour and dynamic restructuring of the network are main drivers of the transition. This generative mechanism for co-evolution of individual behaviour and social network structure may apply to a wide range of examples beyond smoking.
机译:社会的大规模过渡与社交网络的单独行为变化和重组相关。这两个因素经常被认为是独立的,但最近社会网络研究的进步挑战了这个观点。在这里,我们表明社会边缘化和聚类的共同特征在共同进化自适应网络模型的转换期间自然地出现。这是通过显式考虑在行为选择中的各个交互和动态网络结构之间的相互作用来实现的。我们通过模拟通过改变社会规范来重新配置的吸烟行为和网络结构来举例说明了这种机制。我们的结果与实证结果一致:吸烟的患病率降低,剩余的吸烟者彼此相互连接,形成越来越边缘化的簇。我们建议在网络的各个行为和动态重组之间自我放大反馈是过渡的主要驱动因素。这种用于个人行为和社交网络结构的共同演变的这种生成机制可以应用于超出吸烟的广泛的例子。

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