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| A Method for Institution Name Normalization Based on Institution-Author Vectors |
| Lyu Dongqing1, Lu Hongru1, Cheng Ying1,2, Sun Haixia1,3 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.School of Chinese Language and Literature, Shandong Normal University, Jinan 250014
3.Institution of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020 |
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Abstract Institution transition is one reason behind variety in institution names. Normalization of institution names benefits both information retrieval recall and the reliability of bibliometric research results. Thus, this paper proposes a method for institution name normalization based on the stable feature of personnel in an academic institution in the short term. Specifically, institution-author and institution-annual vectors are constructed for each academic institution, and the similarity of the integrated institution-author vectors, the number of co-authors, and mapping rules are used to identify transition relationships between two institutions, including renaming, merger, split, and reorganization. The method was tested using data from the CSSCI database between 1999 and 2015. After controlling for the impact of personnel turnover and homonymous authors, the proposed method demonstrated excellent performance in both accuracy and recall.
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Received: 06 June 2019
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