Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks.

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Journal of The Royal Society Interface Pub Date : 2024-12-01 Epub Date: 2024-12-04 DOI:10.1098/rsif.2024.0406
Tao Wen, Yu-Wang Chen, Renaud Lambiotte
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引用次数: 0

Abstract

Linguistic rules form the cornerstone of human communication, enabling people to understand and interact with one another effectively. However, there are always irregular exceptions to regular rules, with one of the most notable being the past tense of verbs in English. In this work, a naming game approach is developed to investigate the collective effect of social behaviours on language dynamics, which encompasses social learning, self-learning with preference and forgetting due to memory constraints. Two features that pertain to individuals' influential ability and affinity are introduced to assess an individual's role of social influence and discount the information they communicate in the Bayesian inference-based social learning model. Our findings suggest that network heterogeneity and community structure significantly impact language dynamics, as evidenced in synthetic and real-world networks. Furthermore, self-learning significantly enhances the process of language regularization, while forgetting has a relatively minor impact. The results highlight the substantial influence of network structure and social behaviours on the transition of opinions, from consensus to polarization, demonstrating its importance in language dynamics. This work sheds new light on how individual learners adopt language rules through the lenses of complexity science and decision science, advancing our understanding of language dynamics.

自我学习和社会学习对语言动态的集体效应:社会网络中的命名游戏方法。
语言规则是人类交流的基石,使人们能够有效地相互理解和互动。然而,规则中总是有不规则的例外,其中最引人注目的是英语中动词的过去时。在这项工作中,我们开发了一种命名游戏方法来研究社会行为对语言动态的集体效应,包括社会学习、有偏好的自我学习和由于记忆限制而导致的遗忘。在基于贝叶斯推理的社会学习模型中,引入了与个体的影响力能力和亲和力有关的两个特征来评估个体的社会影响力角色,并对他们交流的信息进行贴现。我们的研究结果表明,网络异质性和社区结构显著影响语言动态,这在合成网络和现实世界网络中得到了证明。此外,自我学习显著增强了语言正则化过程,而遗忘的影响相对较小。研究结果强调了网络结构和社会行为对意见从共识到两极分化的转变的实质性影响,证明了其在语言动态中的重要性。这项工作通过复杂性科学和决策科学的视角揭示了个体学习者如何采用语言规则,促进了我们对语言动态的理解。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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