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.
- Version1.2.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release07/19/2023
Documentation
Team
Qi Cui
Andrew Lee
Show author detailsRolesAuthorAlbert Chai
Show author detailsRolesAuthorJoshua Le
Show author detailsRolesAuthorKatherine Ly
Show author detailsRolesContributorKevin Banh
Show author detailsRolesContributorPriya Pahal
Show author detailsRolesContributorJitarth Sheth
Show author detailsRolesAuthorStanley Lo
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 346 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,339 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 79 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages
- Suggests10 packages