基于Ye模型的文献老化的实证研究  

Empirical Investigation on the Literature Obsolescence Based on Ye Model

作　　者：陈京莲[1] 叶子飘[2] Chen Jinglian;Ye Zipiao(Library of Jinggangshan University,Ji'an 343009;College of Maths & Physics,Jinggangshan University,Ji'an 343009)

机构地区：[1]井冈山大学图书馆,吉安343009 [2]井冈山大学数理学院,吉安343009

出　　处：《情报学报》2019年第4期368-376,共9页Journal of the China Society for Scientific and Technical Information

基　　金：江西省教育厅科技计划项目"网络信息增长和信息老化的机理研究"(GJJ160744)

摘　　要：从文献的载文量或主题词的被引频次可以获得一个学术领域兴起与发展的详细信息。本文首次尝试将Ye模型引入主题词被引频次以及相对应的发文量增长规律的研究中,探索主题词被引频次以及相对应的载文量对时间的响应关系。利用Web of Science数据库检索期刊Physical Review D (IF=4.56)之1985—1990年、1991—1996年、2000—2005年和2006—2011年4个时段的载文量和被引频次以及主题词"石墨烯(graphene)"在2005年、2008年和2010年3个时段的载文量和被引频次,并用Ye模型分段拟合这些数据。结果表明,Ye模型可以很好地拟合该期刊4个时段文献的被引频次对时间的响应曲线,得到的引文峰值和最大引文年限与观测值高度符合。此外还发现随着该期刊发文量和文献被引频次的增加,最大引文年限越来越小;负指数模型不能很好地拟合该期刊1985—1990年和1991—1996年2个时段文献被引频次随时间增加而下降这段响应曲线,但可以较好地拟合2000—2005年和2006—2011年2个时段文献被引频次对时间的响应曲线。用逻辑斯蒂模型拟合该期刊4个时段文献被引频次对时间响应曲线的上升部分时发现,由该模型得到的引文峰值低于观测值。同时Ye模型还可以非常好地拟合主题词"石墨烯(graphene)"在2005年、2008年和2010年3个时段的被引频次对时间的响应曲线,并且发现最大引文年限越来越小这种变化趋势,而由逻辑斯蒂模型拟合得到的响应曲线与观测值之间存在较大的差异。Detailed information from the literature,subject citation frequency,and the quantity of articles can be used to evaluate the development of an academic field.In this paper,in order to investigate the increment rule of subject citation frequency and the corresponding quantity of articles,a study on the time-response of the subject citation frequency and quantity of articles was conducted using the Ye model.The number of articles and the citation frequency of Physical Review D(IF=4.56)in 1985-1990,1991-1996,2000-2005 and 2006-2011,as well as the frequency of the subject“graphene”in 2005,2008 and 2010 were retrieved from the Web of Science database.These data were fitted by the Ye,negative exponential,and logistic models,respectively.The results showed that the Ye model could simulate an acceptable timeresponse of the literature citation frequency.Simultaneously,the literature citation peak and maximum citation years were very close to the observed value with extreme determination coefficients.These results also revealed that the maximum citation period is continuously decreasing with the article quantity and citation frequency of the journal.However,although the negative exponential model was not able to adequately fit the time-response curves of the literature citation frequency in 1985-1990 and 1991-1996,it could fit the time-response curves of the literature citation frequency in 2000-2005 and 2006-2011 well.In addition,by using the logistic model to simulate the uplift of the time-response curve in the four selected time periods,the peak value of the citation is obtained by the model,and it is lower than the observed values.Additionally,the Ye model could fit the time-response curves of the literature citation frequency on the subject“graphene”in 2005,2008 and 2010 well.It also found that the maximum citation period continually decreased.However,there is a great difference between the time-response curves and the observed value as the response curves were fitted by the logistic model.

关 键 词：文献老化 引文峰值 引文峰值年限 Ye模型 

分 类 号：G353.1[文化科学—情报学] G253