simplify: Simplify a Network

In cograph: Analysis and Visualization of Complex Networks

Simplify a Network

Description

Removes self-loops and merges duplicate (multi-)edges, similar to igraph::simplify(). Works on matrices, cograph_network, igraph, and tna objects.

Usage

simplify(x, remove_loops, remove_multiple, edge_attr_comb, ...)

## S3 method for class 'matrix'
simplify(
  x,
  remove_loops = TRUE,
  remove_multiple = TRUE,
  edge_attr_comb = "mean",
  ...
)

## S3 method for class 'cograph_network'
simplify(
  x,
  remove_loops = TRUE,
  remove_multiple = TRUE,
  edge_attr_comb = "mean",
  ...
)

## S3 method for class 'igraph'
simplify(
  x,
  remove_loops = TRUE,
  remove_multiple = TRUE,
  edge_attr_comb = "mean",
  ...
)

## S3 method for class 'tna'
simplify(
  x,
  remove_loops = TRUE,
  remove_multiple = TRUE,
  edge_attr_comb = "mean",
  ...
)

## Default S3 method:
simplify(
  x,
  remove_loops = TRUE,
  remove_multiple = TRUE,
  edge_attr_comb = "mean",
  ...
)

Arguments

x	Network input (matrix, cograph_network, igraph, tna object).
remove_loops	Logical. Remove self-loops (diagonal entries)?
remove_multiple	Logical. Merge duplicate edges?
edge_attr_comb	How to combine weights of duplicate edges: "sum", "mean", "max", "min", "first", or a custom function.
...	Additional arguments (currently unused).

Value

The simplified network in the same format as the input.

See Also

filter_edges for conditional edge removal, centrality which has its own simplify parameter

Examples

# Matrix with self-loops
mat <- matrix(c(0.5, 0.3, 0, 0.3, 0.2, 0.4, 0, 0.4, 0.1), 3, 3)
rownames(mat) <- colnames(mat) <- c("A", "B", "C")
simplify(mat)

# Edge list with duplicates
edges <- data.frame(from = c(1, 1, 2), to = c(2, 2, 3), weight = c(0.3, 0.7, 0.5))
net <- cograph(edges, layout = NULL)
simplify(net)
simplify(net, edge_attr_comb = "sum")

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