Rhetorical Dimensions Of Social Network Analysis Visualization For Public Health
Keywords
Public health; rhetoric; social network analysis; Visualization
Abstract
This presentation describes how social network analysis (SNA) can be applied and used in technical communication. We focus on using SNA diagrams for public health communication. SNA diagrams convey the dynamics of the transmission of disease and other complex networked relationships. We discuss three key connection patterns of relevance to public health applications: degree centrality, Eigenvector centrality, and betweenness centrality. This is followed by an overview of existing literature on disease transmission patterns and SNA. Using Gephi, an open-source software package, simple and clear renderings of the three centrality patterns are illustrated. We then describe how technical communicators can appropriately emphasize key features using visual rhetoric, and discuss the need to be mindful of how any graphics producing technology has its own built-in biases that may have rhetorical effects.
Publication Date
11-9-2016
Publication Title
IEEE International Professional Communication Conference
Volume
2016-November
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/IPCC.2016.7740480
Copyright Status
Unknown
Socpus ID
85002170020 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85002170020
STARS Citation
Stephens, Sonia and Applen, J. D., "Rhetorical Dimensions Of Social Network Analysis Visualization For Public Health" (2016). Scopus Export 2015-2019. 3972.
https://stars.library.ucf.edu/scopus2015/3972