近年来，对文学作品的研究分析成为了一个热点话题，随着计算机技术的高速发展与应用，现阶段使用自然语言处理和复杂网络等技术进行研究成为了一个新的热点。尽管国内外专家在运用计算机技术分析文学作品的信息方面开展的研究较多，但大多数主要只针对一部作品，对于以计算机技术分析文学作品并进行文学作品之间的比较研究尚较少见，因此本研究从网络视角对中文文学作品进行比较分析。
本研究讨论人物关系网和词语共现网两个网络，探究中文文学作品的特征，提供新的分析中文文学作品的思路和角度。利用中文分词工具和Gephi可视化软件等，构建网络并进行后续指标的比较研究。发现不同叙事角度的作品和不同写作风格的作品在网络的层面上确存在不同，可以通过度分布、社区划分等指标进行衡量。本研究所运用的网络分析方法与研究思路可以应用于其他的文学作品。

Recent years, the study and analysis of literary works has become a hot topic.Today with fast development and application of computer technology, using   knowledge of complex networks and natural language processing to do research has become a hot topic.Although many experts have carried out a lot of research on analyzing the information of literary works by using computer technology, most of them are mainly care about one work, and it is rare to conduct comparative studies between literary works.Therefore, this article analyzes Chinese literary works from the perspective of networks.
This article discusses the character relationships network and the word co-occurrence network,in order to explore the characteristics of Chinese literary works and provide new analysis Chinese ideas and perspectives of literary works. Using Chinese word segmentation tools and Gephi visualization software to build the network ,and conduct a comparative analysis of the indicators. It was found that works from different narrative perspectives and works with different writing styles did differ at the level of the network,and it can be measured by metrics such as degree distribution and community division. The network analysis methods and research ideas used in this article can be applied to other literary works.