Identifying Individual Research Trails
Identifying Individual Research Trails
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确定个人研究轨迹
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
G. Laudel
中科院分区：
文献类型：
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作者：
J. Gläser;G. Laudel
本文报告了文献计量学方法在分析个人研究线索方面的发展。在使用定性访谈获取受访者研究内容数据的项目中，对这种方法的需求出现了。访谈中探索受访者“研究轨迹”演变的部分--随着时间的推移所涉及的主题和所使用的方法的顺序，可以基于对受访者全部作品的文献计量学分析。对于ISI覆盖面足够广的领域，受访者的所有出版物都被下载，其参考文献列表自动搜索共享参考文献和自我引用。在ISI覆盖不足的领域，确定并比较了标题和摘要关键词。在此信息的基础上，通过根据强度递减添加链接来手动绘制网络，直到大多数出版物被链接，但仍可以区分集群。由此产生的网络完成了他们的角色，作为刺激的受访者的研究传记的讨论。虽然网络不一定要正确才能激发反应，但其中许多网络都是正确的。与访谈过程一起，网络使实际和潜在的研究线索的识别成为可能。目前，潜在语义分析在语篇分析中的应用还处于试验阶段。由此产生的网络将比较书目耦合的结果和从采访中获得的信息。
This paper reports the development of bibliometric methods for the analysis of individual research trails. The demand for such methods arose in projects that used qualitative interviews for obtaining data on the content of the interviewee’s research. The part of the interview that explores the evolution of the interviewee’s “research trail” – the sequence of topics addressed and methods used as it unfolds over time can be based on bibliometric analyses of the oeuvre of the interviewee. For fields with sufficient ISI coverage, all publications by an interviewee were downloaded and their reference lists automatically searched for shared references and selfcitations. In fields with insufficient ISI coverage, title and abstract keywords were identified and compared. On the basis of this information, networks were drawn manually by adding links according to decreasing strength until most publications were linked but clusters could still be distinguished. The resulting networks fulfilled their role as stimuli for discussions about interviewees’ research biographies. Although the networks did not need to be correct in order to stimulate responses, many of them were. Together with the interview process, the networks enabled the identification of actual and latent research trails. Currently, the analysis of oeuvres with latent semantic analysis is tested. The resulting networks will be compared to the results of bibliographic coupling and to the information obtained from interviews.