V.7 制作的2007年美国国家卫生研究院资助的主题地图

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Bruce W. Herr, II

Gully Burns (USC)

Edmund Talley

David Newman

由研究程序员Bruce W. Herr II,生物医学研究人员Gully Burns,计算机科学家David Newman,以及国立卫生研究院(National Institutes of Health,简称NIH)项目主任Edmund Talley共同开发了该地图。2007年由NIH授予的所有资助都是基于相似性的聚类地图。NIH研究所用点和颜色编码表示了大约有60,000项资助。为了制作该地图,利用主题模型、基于对资助摘要进行共词统计的一个自动的机器学习方法来评估每个资助的内容。地图上所显示的资助采用了一种利用相似主题混合资助聚类的布局算法。各簇通过可计算的潜在的资助中最高频词的分配的派生主题表示了标签。该地图提供了NIH资助的一个全局观点:重点追踪的研究主题是什么,主题之间是如何相互联系的,以及每个研究所感兴趣的研究主题是什么。数据可以在多层次(见以下“心脏疾病研究”和“神经电路研究”缩放)以及不同分辨率(见右边所示的前10的主题和四个研究所的基金组合)的情况下被检视。左边显示了交互式版本,可以访问http://nihmaps.org。

Translation by:

Yunwei Chen, Chinese Academy of Sciences.

References:

Herr II, Bruce W., Katy Börner, Russell J. Duhon, Elisha F. Hardy, and Shashikant Penumarthy. 2008. NIH Topic Maps: Topic and Map-Based Clustering Analysis of NIH Grants. Accessed September 23, 2011. http://www.nihmaps.org.

Talley, Edmund M., David Newman, David Mimno, Bruce W. Herr II, Hanna M. Wallach, Gully A.P.C. Burns, A. G. Miriam Leenders, and Andrew McCallum. 2011. “Database of NIH Research Using Machine-Learned Categories and Graphical Clustering.” Nature Methods 8 (6): 443–444.

Herr II, Bruce W., Edmund M. Talley, Gully A.P.C. Burns, David Newman, and Gavin LaRowe. 2009. “NIH Visual Browser: An Interactive Visualization of Biomedical Research.” In Proceedings of the 13th International Conference on Information Visualisation, 505-509.

Herr II, Bruce W., Gully A.P.C. Burns, David Newman, and Edmund Talley. 2007. A Topic Map of NIH Grants 2007. Courtesy of ChalkLabs, Indiana University & Information Sciences Institute, University of California, Irvine. In “5th Iteration (2009): Science Maps for Science Policy-Makers,” Places & Spaces: Mapping Science, edited by Katy Börner and Elisha F. Hardy. http://scimaps.org.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.