Research on Content Characteristics About Complex Network of Text
基于文本复杂网络的内容结构特征分析

To solve the problem of irregular structure of some texts, this paper presents a method based on the complex network theory to evaluate the text structure. This method uses a node to represent a sentence and an edge between two nodes to represent a common word of two sentences, which construct the complex network of a text. Then the authors analyze characters of text structure by topological characteristics of text complex network. By building a text complex network based on a selected article, the degree, the degree of intensity, the shortest paths and the weighting clustering coefficients of this selected article are calculated. The results show that the structure of the text content can be effectively evaluated by this proposed method. Moreover, the results also provide important references to understand main ideas, to generate summaries and to filter text retrieval of a given text.