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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (6): 57-65    DOI: 10.11925/infotech.2096-3467.2018.1159
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Discovering Domain Vocabularies Based on Citation Co-word Network
Qikai Cheng,Jiamin Wang(),Wei Lu
(School of Information Management, Wuhan University, Wuhan 430072, China);(Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan 430072, China)
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Abstract  

[Objective] This paper identifies basic vocabularies of a specific domain from academic papers, aiming to grasp the knowledge structure and development context. [Methods] We combined the citation network and the co-word analysis to construct a citation co-word network. Then, we used the PageRank algorithm to evaluate the importance of the candidate words. We examined the proposed method with 110,360 articles in computer science. [Results] Our new method was compared with the word frequency method and co-word analysis qualitatively and quantitatively. We found that the proposed method performed well, and the average precision of a blind selection experiment reached 72.6%. [Limitations] The proposed method was only examined with computer science articles. [Conclusions] The new strategies could improve the performance of basic vocabulary discovery in one specific domain.

Key wordsBasic Vocabulary      Citation Co-word Network      PageRank      Word Frequency      Co-word Analysis     
Received: 19 October 2018      Published: 15 August 2019

Cite this article:

Qikai Cheng,Jiamin Wang,Wei Lu. Discovering Domain Vocabularies Based on Citation Co-word Network. Data Analysis and Knowledge Discovery, 2019, 3(6): 57-65.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.1159     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I6/57

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