Using targeted betweenness centrality to identify bridges to neglected users in the Twitter conversation on veteran suicide-Reference-Cited by-同舟云学术

Using targeted betweenness centrality to identify bridges to neglected users in the Twitter conversation on veteran suicide

Published:2021-04-17 Issue:1 Volume:11 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Britt Brian C.^ORCID,Hayes Jameson L.,Musaev Aibek,Sheinidashtegol Pezhman,Parrott Scott,Albright David L.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-021-00747-x.pdf

Reference24 articles.

1. Borgatti SP, Everett MG, Freeman LC (2002) Ucinet for Windows: Software for social network analysis (version 6.702). Analytic Technologies. https://sites.google.com/site/ucinetsoftware/home. Accessed 23 Sept 2020

2. Brandes U (2008) On variants of shortest-path betweenness centrality and their generic computation. Soc Netw 30:136–145. https://doi.org/10.1016/j.socnet.2007.11.001

3. Britt BC (2015) Stepwise segmented regression analysis: An iterative statistical algorithm to detect and quantify evolutionary and revolutionary transformations in longitudinal data. In: Matei SA, Russell MG, Bertino E (eds) Transparency in social media: tools, methods, and algorithms for mediating online interactions. Springer, Heidelberg, pp 125–144

4. Britt BC (2020a) stepseg: stepwise segmented regression analysis. GitHub. https://github.com/bcbritt/stepseg. Accessed 23 Sept 2020

5. Britt BC (2020b) targbetween: targeted betweenness centrality. GitHub. https://github.com/bcbritt/targbetween. Accessed 17 May 2020

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