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New Technology of Library and Information Service  2014, Vol. 30 Issue (10): 33-41    DOI: 10.11925/infotech.1003-3513.2014.10.06
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Study on the Reference Network of Single Academic Article Based on Citation Content
Lu Chao, Zhang Chengzhi
School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China
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[Objective] To explore the form of the reference networks via the analyzing how the references are cited and disbuted in the content of the academic articles. [Methods] Based on the structured data of 575 academic articles, utilize content extraction, similarity computing and other technologies to build the networks of every single article's references and combine examples to analyze the interrelations among them and to find out the reasons. [Results] Some negative connections exsist between the similarity of references and their relative distance. Diversification and different models exist in the reference network of a single article as well. [Limitations] Some parts of the full-text data are not accurate enough, which affects the results of the experiment.The evaluation of the relative distance among references in this study lacks accuracy. Deep mining of the texts is needed to solve the problem. [Conclusions] From the results, the reference network structures can be roughly classfied into three categories, and the causes are different. The reference network of single academic article needs more studies.

Key wordsCitation analysis      Citation content      Network analysis      Text mining     
Received: 09 April 2014      Published: 28 November 2014
:  TP393  

Cite this article:

Lu Chao, Zhang Chengzhi. Study on the Reference Network of Single Academic Article Based on Citation Content. New Technology of Library and Information Service, 2014, 30(10): 33-41.

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