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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.
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Received: 19 August 2013
Published: 08 January 2014
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