Calculates node sizes based on centrality measures.
resolve_centrality_sizes(
x,
scale_by,
size_range = c(2, 8),
n = NULL,
scaling = "default",
scale_exp = 1
)Named list with 'sizes' (vector of node sizes) and 'values' (raw centrality values).
Network object (igraph, matrix, cograph_network, etc.)
Centrality measure name or list with measure and parameters. Valid measures: "degree", "strength", "betweenness", "closeness", "eigenvector", "pagerank", "authority", "hub", "eccentricity", "coreness", "constraint", "harmonic". Also accepts directional shorthands: "indegree", "outdegree", "instrength", "outstrength", "incloseness", "outcloseness", "inharmonic", "outharmonic", "ineccentricity", "outeccentricity".
Numeric vector of length 2: c(min_size, max_size). Default c(2, 8).
Number of nodes (for validation).
Scaling mode: "default" or "legacy".
Dampening exponent applied to normalized centrality values before mapping to size range. Default 1 (linear).