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New Technology of Library and Information Service  2011, Vol. 27 Issue (1): 69-73    DOI: 10.11925/infotech.1003-3513.2011.01.11
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Research on Content Characteristics About Complex Network of Text
Liu Honghong1,2, An Haizhong1,2, Gao Xiangyun1,2
1. Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083, China;
2. School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
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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.

Key wordsComplex network of text      Content structure      Shortest path      Clustering coefficient     
Received: 28 October 2010      Published: 12 February 2011



Cite this article:

Liu Honghong, An Haizhong, Gao Xiangyun. Research on Content Characteristics About Complex Network of Text. New Technology of Library and Information Service, 2011, 27(1): 69-73.

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