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) .


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1.1.5 by Joshua Le, 2 months ago

Browse source code at

Authors: Albert Chai [aut] , Andrew Lee [aut] , Joshua Le [aut, cre] , Katherine Ly [ctb] , Kevin Banh [ctb] , Priya Pahal [ctb] , Stanley Lo [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports igraph, ggpubr, GGally, network, ggplot2, dplyr, ggrepel, BiocManager, sna

See at CRAN