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Journal Coupling Analysis Based on Citation Content
Received date: 2016-03-06
Revised date: 2016-05-24
Online published: 2016-06-05
[Purpose/significance] The journal coupling analysis (JCA) is a journal research method based on absorbing the knowledge from other journals. The application effect of the JCA is poor because of the dispersion of knowledge sources. In order to improve the analysis result, this paper proposes a new method, named content and journal coupling analysis (C-JCA). [Method/process] This method extracts the characteristic words of the journal citation content, and then integrates them into the traditional JCA. It takes 17 kinds of CSSCI journals of Library and Information Science in China for example, builds two journal networks of JCA and C-JCA separately, and compares their multi-dimensional scale distribution, block models and core/edge structure. [Result/conclusion] Comparing C-JCA with traditional JCA, it finds that the network characteristic of journal coupling analysis based on citation content has obvious improvement, and the journal analysis ability gets significantly promoted.
Li Xiuxia , Ma Xiufeng , Cheng Jiejing . Journal Coupling Analysis Based on Citation Content[J]. Library and Information Service, 2016 , 60(11) : 100 -106 . DOI: 10.13266/j.issn.0252-3116.2016.11.014
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