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