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鸟类音节句法网络的结构。

The structure of an avian syllable syntax network.

作者信息

Deslandes Viviane, Faria Luiz R R, Borges Marcelo E, Pie Marcio R

机构信息

Laboratório de Dinâmica Evolutiva e Sistemas Complexos, Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, PR, Brazil; Pós Graduação em Ecologia e Conservação, Universidade Federal do Paraná, Curitiba, PR, Brazil.

Laboratório de Dinâmica Evolutiva e Sistemas Complexos, Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, PR, Brazil; Instituto Latino-Americano de Ciências da Vida e da Natureza, Universidade Federal da Integração Latino-Americana (UNILA), Brazil.

出版信息

Behav Processes. 2014 Jul;106:53-9. doi: 10.1016/j.beproc.2014.04.010. Epub 2014 Apr 30.

Abstract

A common result in recent linguistic studies on word association networks is that their topology can often be described by Zipf's law, in which most words have few associations, whereas a few words are highly connected. However, little is known about syntactic networks in more rudimentary communication systems, which could represent a window into the early stages of language evolution. In this study, we investigate the syntactic network formed by syllable associations in the song of the oscine bird Troglodytes musculus. We use methods recently developed in the context of the study of complex networks to assess topological characteristics in the syntactic networks of T. musculus. We found statistically significant evidence for nestedness in the syllable association network of T. musculus, indicating network organization around a core of commonly used notes, small-world features, and a non-random degree distribution. Our analyses suggest the possibility of a balance between the maintenance of core notes and the acquisition/loss of rare notes through both cultural drift and improvisation. These results underscore the usefulness of investigating communication networks of other animal species in uncovering the initial steps in the evolution of complex syntax networks.

摘要

近期关于词联想网络的语言学研究的一个常见结果是,其拓扑结构通常可用齐普夫定律来描述,即大多数词的联想很少,而少数词则有高度的关联性。然而,对于更基础的通信系统中的句法网络,我们却知之甚少,而句法网络可能是洞察语言进化早期阶段的一个窗口。在本研究中,我们调查了鸣禽姬鹪鹩歌声中由音节联想形成的句法网络。我们使用在复杂网络研究背景下最近开发的方法,来评估姬鹪鹩句法网络的拓扑特征。我们发现姬鹪鹩音节联想网络中存在嵌套性的统计学显著证据,这表明该网络围绕常用音符核心、小世界特征以及非随机度分布进行组织。我们的分析表明,通过文化漂移和即兴创作,在维持核心音符与获取/丢失稀有音符之间可能存在一种平衡。这些结果强调了研究其他动物物种的通信网络对于揭示复杂句法网络进化初始步骤的有用性。

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