期刊文献+

基于主题分类的作者影响力评价新指标STII研究 被引量:3

STII: A New Index of Author Influence Evaluation Based on Topic Classification
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摘要 [目的/意义]为实现在主题分类基础上对作者影响力的评价,给出一种基于研究主题的作者影响力评价方法。[方法/过程]以中国引文数据库2010-2014年图书情报学16种核心期刊中的文献为样本,利用LDA模型对样本文献进行主题建模,将主题对文献的支持度与文献被引频次做乘法运算,计算特定主题文献的被引频次(Specific topic cited frequency,简称STCF);然后统计在特定主题下同一作者发表文献的STCF值之和,进而计算作者的特定主题影响力指数(Specific topic influence index,简称STII);根据每位作者在相应主题内的STII值对作者进行影响力排名。[结果/结论]基于主题分类的作者影响力分析,更好反映了作者发表文献的主题特征,体现出作者研究主题的多元性,研究视角更加全面合理,有效弥补了利用被引频次和h指数评价作者影响力的不足。 [Purpose/Significance] In order to evaluate author's influence on the basis of topic classification, this paper presents an author influence evaluation method based on the research topic. [Method/Process] Based on the sample literature from 16 kinds of core journals in the Chinese citation database in the period of 2010 - 2014, the LDA model was used to model the sample literature. The specific topic cited frequency (STCF) was calculated by multiplying the support of the subject with literature topic cited frequency, then the topic cited frequency was calculated. And then the sum of STCF value of the same author studying a specific topic and the specific topic influence index (STII)of the author were calculated. The author's influence ranking was based on the STII value of each author studying the corresponding topic. [Result/Conclusion] Ranking author's influence based on the topic classification better reflects the theme of the author's publication, shows the diversity of the research topics, the research perspectives are even more comprehensive and reasonable, and the evaluation of the author's influence that previously relied citation frequency and h index is improved.
作者 雷东升 Lei Dongsheng(Library,Beijing University of Technology,Beijing 100124)
出处 《情报杂志》 CSSCI 北大核心 2018年第7期150-154,共5页 Journal of Intelligence
关键词 作者影响力 LDA模型 研究主题 STII 三维视角 authors' influence LDA model research topic STII 3-D perspective
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