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Structural Analysis on Social Network Constructed from Characters in Literature Texts

机译：文学文本中字符构建的社交网络结构分析

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—Recently we witnessed that the social network analysis focusing on social entities is applied in the social science and web-science, behavioral sciences, as well as in economics, marketing. In this paper we present one method to construct and structure analysis the social network from literary fictions by a simple lexical analysis. And we will show that those literary social graphs, shows the power law distribution of some features, which is the typical characteristics of complex systems. We newly proposed the concept of the kernel of literary social network by which we can classify the abstract level of protagonists appeared in fictions. And we also studied the connectivity of social network based on statement distance distribution of characters. Our study shows that the metric distance among characters written in linear text is very similar to the intrinsic and semantic relationship described by fiction writers, which implies the proposed social network from fictions could be another representation of literary fiction. So we can apply other scientific and quantitative approach by analyzing the concrete social graph model extracted from textual data.
机译：- 我们目睹了专注于社会实体的社会网络分析适用于社会科学和网络科学，行为科学以及经济学，营销。本文通过简单的词法分析，提出了一种构建和结构分析社交网络的构建和结构分析。我们将展示那些文学社会图表，展示了一些特征的权力法分布，这是复杂系统的典型特征。我们新提出了文学社交网络内核的概念，我们可以将主角出现在小说中的抽象水平。我们还基于字符的语句距离分布研究了社交网络的连接。我们的研究表明，用线性文本编写的字符之间的度量距离与小说作家描述的内在和语义关系非常相似，这意味着来自小说的建议的社交网络可能是文学小说的另一个代表性。因此，我们可以通过分析从文本数据提取的具体社会图模型来应用其他科学和定量方法。

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