scale_edge_widths: Scale Edge Widths Based on Weights

In cograph: Analysis and Visualization of Complex Networks

Scale Edge Widths Based on Weights

Description

Unified edge width scaling function that supports multiple scaling modes and output range specification.

Usage

scale_edge_widths(
  weights,
  esize = NULL,
  n_nodes = NULL,
  directed = FALSE,
  mode = "linear",
  maximum = NULL,
  minimum = 0,
  cut = NULL,
  range = c(0.5, 4),
  visual_scale = NULL
)

Arguments

weights	Numeric vector of edge weights.
esize	Maximum edge size. If NULL, range[2] is used.
n_nodes	Number of nodes. Accepted for caller compatibility; not used by this scaler.
directed	Whether network is directed. Accepted for caller compatibility; not used by this scaler.
mode	Scaling mode: "linear", "log", "sqrt", or "rank".
maximum	Max weight for normalization. NULL for auto-detect.
minimum	Min weight threshold. Edges below this get minimum width.
cut	Accepted for caller compatibility. Width scaling is continuous in the current implementation; cutoff handling is performed by callers for other aesthetics such as transparency.
range	Output width range as c(min_width, max_width).

Details

Scaling Modes

• linear (default): Direct proportional scaling, matches qgraph behavior.

• log: Logarithmic scaling for wide weight ranges. Uses log1p for stability.

• sqrt: Square root scaling for moderate compression.

• rank: Rank-based scaling for equal visual spacing regardless of weight distribution.

Value

Numeric vector of scaled edge widths.

cograph documentation built on May 31, 2026, 5:06 p.m.