Centralize a graph according to the degrees of vertices
centralize for a summary of graph centralization.
centr_degree(graph, mode = c("all", "out", "in", "total"), loops = TRUE, normalized = TRUE)
- The input graph.
- This is the same as the
- Logical scalar, whether to consider loops edges when calculating the degree.
- Logical scalar. Whether to normalize the graph level centrality score by dividing by the theoretical maximum.
- A named list with the following components:
res The node-level centrality scores. centralization The graph level centrality index. theoretical_max The maximum theoretical graph level centralization score for a graph with the given number of vertices, using the same parameters. If the
TRUE, then the result was divided by this number.
Other centralization related:
# A BA graph is quite centralized g <- sample_pa(1000, m = 4) centr_degree(g)$centralization centr_clo(g, mode = "all")$centralization centr_betw(g, directed = FALSE)$centralization centr_eigen(g, directed = FALSE)$centralization