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New Technology of Library and Information Service  2013, Vol. Issue (12): 62-69    DOI: 10.11925/infotech.1003-3513.2013.12.10
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Use of Author-Keyword Network for Detecting Author Similarity
Liu Ping, Guo Yuepei, Guo Yiting
School of Information Management, Wuhan University, Wuhan 430072, China
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Abstract  Accurately measuring the authors similarities is the fundamental work of detecting disciplinary knowledge structure and mining potential cooperative relationships, it is one of important research issues in library and information science. Current approaches rely on direct associations between properties,and the indirect associations between properties are ignored. This paper proposes a new measurement of authors similarities based on author-keyword network. Firstly the relatedness of keywords are calculated based on Vector Space Model, and then structure similarity algorithm P-Rank is used to calculate the similarities between authors.The initial experiment demonstrates the effectiveness of the proposed approach. Compared with keyword-coupling method and Vector Space Model method, this approach obtains more meaningful results.
Key wordsAuthor-Keyword network      Similarity      P-Rank     
Received: 19 August 2013      Published: 08 January 2014
:  G350  

Cite this article:

Liu Ping, Guo Yuepei, Guo Yiting. Use of Author-Keyword Network for Detecting Author Similarity. New Technology of Library and Information Service, 2013, (12): 62-69.

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