计算机与现代化 ›› 2022, Vol. 0 ›› Issue (06): 32-36.

• 数据库与数据挖掘 • 上一篇    下一篇

《平凡的世界》人物关系网络分析

  

  1. (延安大学数学与计算机科学学院,陕西延安716000)
  • 出版日期:2022-06-23 发布日期:2022-06-23
  • 作者简介:王君(1996—),男,陕西西安人,硕士研究生,研究方向:大数据知识工程,E-mail: wangjun03006@163.com; 何进荣(1984—),男,甘肃民勤人,副教授, 硕士生导师,博士,研究方向:机器学习和计算机视觉,E-mail: hejinrong@yau.edu.cn; 马乐荣(1974—),男,陕西神木人,教授, 硕士生导师,博士,研究方向:大数据知识工程,人工智能,E-mail: mlr@yau.edu.cn。
  • 基金资助:
    国家自然科学基金资助项目(61866038, 61902339)

Character Network Analysis of Ordinary World

  1. (School of Mathematics and Computer Science, Yan’an University, Yan’an 716000, China)
  • Online:2022-06-23 Published:2022-06-23

摘要: 文学作品中人物关系网络的构建与定量分析是文学作品智能化解读的重要内容。本文以路遥先生文学作品《平凡的世界》为研究对象,利用复杂网络分析方法,对文学作品中的社交网络进行构建和分析。首先提取作品中的社交网络关系,其中小说人物对应社交网络中的节点,人物之间的关系对应社交网络的边,各章人物共同出现次数对应于边的权重,然后对构建的网络进行介数、集聚系数相关性等网络指标分析及分层聚类和链路预测。实验结果表明《平凡的世界》作品中的人物关系网络是异配网络并具有小世界特性。该研究有助于推动文学作品中人物关系网络的分析。

关键词: 平凡的世界, 文学作品, 社交网络, 网络指标

Abstract: The construction and quantitative analysis of the relationship network of characters in literary works is an important content of intelligent interpretation of literary works. This article takes Mr. Lu Yao’s literary work "The Ordinary World" as the research object and uses complex network analysis methods to construct and analyze the social network in the literary works. Firstly, the social network relationship in the work is extracted, where the characters in the novel correspond to the nodes in the network, the relationships between the characters correspond to the edges of the network, and the number of times the characters appear together in each chapter corresponds to the weight of the edges. Then we analyze the betweenness and aggregation coefficient correlation, hierarchical clustering and predicting link on the constructed network. The experimental results show that the character relationship network of Ordinary World is a heterogenous network with small-world characteristics. This research is helpful to promote the analysis of character relationship network in literary works.

Key words: Ordinary World, literary works, social networks, network indicators