Group of Nonlinear Physics. Departamento de Física de Partículas, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
ICREA-Complex Systems Lab, UPF-PRBB. Dr Aiguader 88, 08003, Barcelona, Spain.
Nat Commun. 2019 Apr 11;10(1):1680. doi: 10.1038/s41467-019-09688-8.
Sociolinguistic phenomena often involve interactions across different scales and result in social and linguistic changes that can be tracked over time. Here, we focus on the dynamics of language shift in Galicia, a bilingual community in northwest Spain. Using historical data on Galician and Spanish speakers, we show that the rate at which shift dynamics unfold correlates inversely with the internal complexity of a region (approximated by the proportion of urban area). Less complex areas converge faster to steady states, while more complex ones sustain transitory dynamics longer. We further explore the contextual relevance of each region within the network of regions that constitute Galicia. The network is observed to sustain or reverse the dynamic rates. This model can introduce a competition between the internal complexity of a region and its contextual relevance in the network. Harnessing these sociodynamic features may prove useful in policy making to limit conflicts.
社会语言现象通常涉及不同尺度的相互作用，导致社会和语言的变化，可以随着时间的推移进行跟踪。在这里，我们关注的是西班牙西北部双语社区加利西亚的语言转变动态。通过对加利西亚语和西班牙语使用者的历史数据进行分析，我们发现转变动态展开的速度与一个地区的内部复杂性（用城市面积的比例来近似）呈反比。较不复杂的地区更快地收敛到稳定状态，而更复杂的地区则维持更长时间的过渡动态。我们进一步探索了在构成加利西亚的地区网络中每个地区的语境相关性。观察到网络可以维持或逆转动态速率。该模型可以在制定政策以限制冲突时引入地区内部复杂性及其在网络中的语境相关性之间的竞争。利用这些社会动态特征可能有助于政策制定，以限制冲突。
