The study of topology of linguistic and memory network of emotions.

本研究旨在揭示语义记忆的基本系统--情感相关词网络和相似性网络的拓扑结构。研究发现，情感相关词在网络中的出现频率遵循Zipf定律。此外，该网络具有小世界网络结构和无标度网络结构的共同特征。相似性网络的拓扑结构也显示出其与小世界网络结构的相似性。研究表明，存在的缩放规则的概念与情绪。

The present research aimed to reveal the topology of networks for emotion related words and of similarity network; a basic system of semantic memory. The research found that frequency of appearance for each emotion related word in the network follows Zipf’s law. Furthermore, the network possesses characteristics shared by both small-world network structure and scale-free network structure. The topology of the similarity network also showed its resemblance to the structures of small-world networks. The research demonstrated the presence of scaling rules for concepts related to emotion.