语言风格相似性和友谊网络

Balázs Kovács, Adam M. Kleinbaum
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引用次数: 3

摘要

本文证明了语言相似性可以预测网络关系的形成,并且随着时间的推移,朋友表现出语言趋同。研究1分析了285名学生的语言风格和新出现的友谊网络。研究2分析了一个大规模的在线评论数据集。在这两项研究中,我们分两波收集数据,以检查友谊网络和语言风格的变化。使用LIWC语言框架,我们分析了学生的论文文本和159,651名Yelp评论者的170万条评论。我们发现,语言风格的相似性对应于更高的友谊形成和持久的可能性,而友谊关系反过来又对应于语言风格的趋同。我们讨论了语言风格和社会网络共同进化的影响,这有助于形成关系回声室。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Language Style Similarity and Friendship Networks
This paper demonstrates that linguistic similarity predicts network tie formation and that friends exhibit linguistic convergence over time. Study 1 analyzes the linguistic styles and the emerging friendship network in a complete cohort of 285 students. Study 2 analyzes a large-scale dataset of online reviews. Across both studies, we collected data in two waves to examine changes in both friendship networks and linguistic styles. Using the LIWC linguistic framework, we analyze the text of students’ essays and of 1.7 million reviews by 159,651 Yelp reviewers. We find that similarity in linguistic style corresponds to higher likelihood of friendship formation and persistence, and that friendship ties, in turn, correspond with a convergence in linguistic style. We discuss the implications of the co-evolution of linguistic styles and social networks, which contribute to the formation of relational echo chambers.
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