select_top: Select Top N Nodes by Centrality

In cograph: Analysis and Visualization of Complex Networks

Select Top N Nodes by Centrality

Description

Select the top N nodes ranked by a centrality measure.

Usage

select_top(
  x,
  n,
  by = "degree",
  ...,
  .keep_edges = c("internal", "none"),
  keep_format = FALSE,
  directed = NULL
)

Arguments

x	Network input.
n	Integer. Number of top nodes to select.
by	Character. Centrality measure for ranking. One of: "degree", "indegree", "outdegree", "strength", "instrength", "outstrength", "betweenness", "closeness", "eigenvector", "pagerank", "hub", "authority", "coreness". Default "degree".
...	Additional filter expressions to apply.
.keep_edges	How to handle edges. Default "internal".
keep_format	Logical. Keep input format? Default FALSE.
directed	Logical or NULL. Auto-detect if NULL.

Value

A cograph_network with the top N nodes.

See Also

select_nodes, select_component

Examples

adj <- matrix(c(0, .5, .8, 0,
                .5, 0, .3, .6,
                .8, .3, 0, .4,
                 0, .6, .4, 0), 4, 4, byrow = TRUE)
rownames(adj) <- colnames(adj) <- c("A", "B", "C", "D")

# Top 2 by degree
select_top(adj, n = 2)

# Top 2 by PageRank
select_top(adj, n = 2, by = "pagerank")

cograph documentation built on April 1, 2026, 1:07 a.m.