discourseGT: Analyze Group Patterns using Graph Theory in Educational
Settings
Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
| Version: |
1.1.7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
igraph, GGally, network, ggplot2, dplyr, ggrepel |
| Suggests: |
rmarkdown, markdown, rticles, knitr, R.rsp, BiocManager, ggpubr, sna |
| Published: |
2021-11-03 |
| Author: |
Albert Chai [aut],
Andrew Lee [aut],
Joshua Le [aut],
Katherine Ly [ctb],
Kevin Banh [ctb],
Priya Pahal [ctb],
Jitarth Sheth [aut, cre],
Stanley Lo [aut] |
| Maintainer: |
Jitarth Sheth <jhsheth at ucsd.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
discourseGT results |
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