net_aggregate_weights: Aggregate Edge Weights

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Aggregate Edge Weights

Description

Aggregates a vector of edge weights using various methods. Compatible with igraph's edge.attr.comb parameter.

Usage

net_aggregate_weights(w, method = "sum", n_possible = NULL)

Arguments

w	Numeric vector of finite edge weights. NA and zero weights are excluded before aggregation, so every method (including "density", "min", "max", "prod", "geomean") operates on the non-zero, non-NA subset.
method	Single aggregation method: "sum", "mean", "median", "max", "min", "prod", "density", or "geomean". Because zeros are stripped first, "density" (sum(w) / n_possible) and "mean" (sum(w) / number of non-zero edges) return the same value whenever the block is fully dense – i.e. when the count of non-zero edges equals n_possible. They diverge only when zero/NA edges are present (then "density" divides by the larger n_possible, "mean" by the smaller non-zero count).
n_possible	Optional single finite numeric number of possible edges for density calculation. When omitted, "density" falls back to sum(w) / length(w) on the non-zero subset (equivalent to "mean"); supply n_possible (e.g. the block size n_i * n_j) for a true edge density.

Value

Single aggregated value

Examples

w <- c(0.5, 0.8, 0.3, 0.9)
net_aggregate_weights(w, "sum")   # 2.5
net_aggregate_weights(w, "mean")  # 0.625
net_aggregate_weights(w, "max")   # 0.9
net_aggregate_weights(w, "density", n_possible = 9)  # 2.5 / 9

Nestimate documentation built on July 11, 2026, 1:09 a.m.