subgroupsNetAnalysis {discourseGT} | R Documentation |
Performs a subgroup analysis on the graph
subgroupsNetAnalysis(ginp, raw_input = NULL, normalized = FALSE)
ginp |
The prepared graph object from prepareGraphs function |
raw_input |
The data of the original .csv file |
normalized |
Normalize the betweeness centrality values |
Saves number of potential cliques, cores, symmetry of the graph, dyads in graphs, node composition in proposed cliques, neighbors adjacent to each node, transitivity (local and global) as a list object
df <- sampleData1
prepNet <- tabulate_edges(df, iscsvfile = FALSE, silentNodes = 0)
baseNet <- prepareGraphs(prepNet, project_title = "Sample Data 1", weightedGraph = TRUE)
subgroupsNetAnalysis(baseNet, raw_input = df)