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Character Interaction Network Analysis of Chinese Literary Work-A Preliminary Study

机译:中国文学作品的字符交互网络分析 - 初步研究

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摘要

Considering the shortages of character interaction network analysis from literary work by literary theorists and computer scientists, this paper combined their methods and conducted qualitative and quantitative approach to extract and analyze character interaction network from literary text. Firstly, it proposed the analysis framework of character interaction network from literary work: one-mode and two-mode network analysis. One-mode network analysis was applied in macro-level (chapters), meso-level (social events) and micro-level (character dialogues). Two-mode network analysis was applied in meso-level (social events). Then two literary scholars manually extracted social events and character dialogues from the fiction “Journey to the West Prequel” and manually recognized characters in different levels. Then it constructed the one-mode and two-mode matrices based on the proposed standard formula which was based on the idea of co-occurrence. Different matrices were computed and visualized by SNA software. The results validated by literary scholars showed that the proposed analysis framework was applicable in interpreting and revealing the contents of the fiction. Finally, the discussions and further researches were summarized.
机译:考虑到文学理论家和计算机科学家的文学互动网络分析的短缺,本文结合了它们的方法,并进行了从文学文本提取和分析字符交互网络的定性和定量方法。首先,它提出了文学作品的字符交互网络分析框架:单模和两模式网络分析。在宏观(章节),中间级(社交事件)和微级(字符对话)中应用单模网络分析。在中间级(社交事件)中应用了两种模式网络分析。然后,两个文学学者手动提取来自小说“旅程到西部前传”的社交事件和角色对话,并手动识别不同级别的字符。然后,基于所提出的标准公式构建了一个模式和双模矩阵,这是基于共发生的思想的标准公式。通过SNA软件计算和可视化不同的矩阵。文学学者验证的结果表明,建议的分析框架适用于解释和揭示小说的内容。最后,总结了讨论和进一步研究。

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