基于累积引文的科学睡美人识别方法研究

doi:10.3772/j.issn.1000-0135.2020.09.007

情报学报

2020, Vol. 39

Issue (9): 949-962 DOI: 10.3772/j.issn.1000-0135.2020.09.007

情报分析方法与技术

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基于累积引文的科学睡美人识别方法研究

侯剑华, 张雪雯

中山大学资讯管理学院，广州 510006

Identification Method and Empirical Research of Sleeping Beauty in Science Based on Cumulative Citation

Hou Jianhua, Zhang Xuewen

School of Information Management, Sun Yat-sen University, Guangzhou 510006

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摘要从文献的累积引文视角出发，以Logistic曲线为原型，拟合累积引文曲线模型，通过累积引文的曲线特征给出文献生命周期的三个阶段：沉睡期、苏醒期、衰老期。从沉睡强度和苏醒强度两个维度构建累积引文睡美人指数（cumulative citation sleeping beauty index，Cc index），提出了一种识别睡美人文献的无参数指标方法。对Web of Science平台在2008—2014年出版的超弦领域中的睡美人文献进行检验，结果表明Cc指数识别结果能很好地满足参数指标定义的睡美人文献，且对浅睡眠（假寐）文献、睡眠时间相对较短但苏醒强度大的睡美人文献具有较好的识别效果，同时能识别出全要素睡美人文献，更符合睡美人文献的本质特征。累积引文睡美人指数识别方法对其他研究领域的有效性有待进一步验证。

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	侯剑华
	张雪雯

关键词 ：科学睡美人, 累积引文, 累积引文睡美人指数, 识别方法

收稿日期: 2019-06-25

基金资助:国家社会科学基金一般项目“‘基于科学的创新’驱动新兴技术生成的机理及其促进政策研究”（17BGL031）。

作者简介: 侯剑华，男，1980年生，博士，教授，博士生导师，主要研究领域为科学计量学、科技信息管理。张雪雯，女，1999年生，硕士研究生，主要研究领域为信息管理与信息系统、科学计量学，E-mail:zhangxw53@mail2.sysu.edu.cn。

引用本文:

侯剑华, 张雪雯. 基于累积引文的科学睡美人识别方法研究[J]. 情报学报, 2020, 39(9): 949-962.
Hou Jianhua, Zhang Xuewen. Identification Method and Empirical Research of Sleeping Beauty in Science Based on Cumulative Citation. 情报学报, 2020, 39(9): 949-962.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2020.09.007 或 https://qbxb.istic.ac.cn/CN/Y2020/V39/I9/949

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