Document

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

Creator

• McCabe, Erin E.

License

• CC0 1.0 Universal

Submitter

Erin E. McCabe

College

• Libraries

Department

• Digital Scholarship Center (DSC)

Publisher

• University of Cincinnati

Related URL

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

Digital Object Identifier (DOI)

Identifier: doi:10.7945/9rvf-6e70
Link: https://doi.org/10.7945/9rvf-6e70

This DOI link is the best way for others to cite your work.

Relationships

In Collection:

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

Items

Thumbnail	Title	Date Uploaded	Visibility	Actions
	Appendix_A._Topic_Centrality.docx	2021-02-26	Open Access	Press to Select an action Download