centralize for a summary of graph centralization.
centr_degree_tmax( graph = NULL, nodes = 0, mode = c("all", "out", "in", "total"), loops = FALSE )
The input graph. It can also be
The number of vertices. This is ignored if the graph is given.
This is the same as the
Logical scalar, whether to consider loops edges when
calculating the degree. Currently the default value is
Real scalar, the theoretical maximum (unnormalized) graph degree centrality score for graphs with given order and other parameters.
Other centralization related:
# A BA graph is quite centralized g <- sample_pa(1000, m = 4) centr_degree(g, normalized = FALSE)$centralization %>% `/`(centr_degree_tmax(g, loops = FALSE)) centr_degree(g, normalized = TRUE)$centralization
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