| 基于关键词的期刊发文的相似性测度研究 |
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| 引用本文： | 田大芳,张瑞丽,魏瑞斌.基于关键词的期刊发文的相似性测度研究[J].现代情报,2018,38(11):105. |
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| 作者姓名： | 田大芳 张瑞丽 魏瑞斌 |
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| 作者单位： | 1. 安徽财经大学图书馆, 安徽 蚌埠 233030;2. 山西财经大学图书馆, 山西 太原 030006;3. 安徽财经大学管理科学与工程学院, 安徽 蚌埠 233030 |
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| 摘 要： | 目的/意义]关键词是反映期刊研究主题、研究方法和数据源等信息的重要途径。本文尝试通过论文关键词来研究学术期刊的相似度，为期刊分类等学术研究和实际工作提供参考。方法/过程]首先，在相关文献梳理的基础上，提出了基于论文关键词的两种期刊相似度计算方法。然后，以《中国图书馆学报》和《情报学报》为实证对象，从CSSCI采集了两种期刊1998-2017年的关键词数据。最后，计算了两种期刊的相似度，并分析了两种期刊论文的共现关键词。结论]研究发现，两种期刊的相似度有一定波动，但整体上呈现为一个下降趋势。这反映出两种期刊上发表的论文的相似性在不断下降，而差异性在不断增加。
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| 关 键 词： | 关键词 期刊相似性 TF-IDF算法 余弦相似性 学术期刊 |
Study on Measuring the Journal Similarity Based on the Keywords |
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| Authors: | Tian Dafang Zhang Ruili Wei Ruibin |
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| Institution: | 1. Library, Anhui University of Finance and Economics, Bengbu 233030, China;2. Library, Shanxi University of Finance and Economics, Taiyuan 030006, China;3. School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China |
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| Abstract: | Purpose/Significance]Keywords are important ways to reflect the research topics,research methods,and data sources of journal articles.This paper aimed to study the similarity of academic journals through the key words of the paper and provided reference for academic research and practical work such as journal classification.Method/Process]First,based on the review of relevant literatures,two kinds of journal similarity calculation methods based on the keywords of the paper were proposed.And then,the paper took Journal of library Science in China and Journal of the China Society for Scientific and Technical Information as examples and collected keywords of the two journals from CSSCI during 1998 and 2017.Finally,the similarities between the two journals were calculated.The co-occurrence keywords of two journal articles were analyzed.Result/Conclusion]The result showed that there were certain fluctuations in the similarities between the two journals.However,the overall trend was a downward trend.This showed that the similarities of the papers published in the two journals were declining,and the differences were increasing. |
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| Keywords: | keywords journal similarity TF-IDF cosine similarity co-words network academic journal |
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