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These Centrality measurements were generated with NetworkX, a Python package for networks. The specific algorithms used for this paper are Betweenness Centrality (where Degree Centrality considers individual topics).

Complete Centrality Data for this research can be found at  https://scholar.uc.edu/show/6t053h21x

创建者

• McCabe, Erin E.

证书

• CC0 1.0 Universal

提交

Erin E. McCabe

学

• Libraries

部门

• Digital Scholarship Center (DSC)

出版者

• University of Cincinnati

相关网址

•  https://scholar.uc.edu/show/6t053h21x

Digital Object Identifier (DOI)

识别码: doi:10.7945/9rvf-6e70
链接: https://doi.org/10.7945/9rvf-6e70

这个DOI链接是其他人引用您工作的最佳方式。

关系

在收集：

• Data Sets for HDSR publication "Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm"

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	Appendix_A._Topic_Centrality.docx	2021-02-26	开放存取	Press to 选择一个动作 下载