build_author_bipartite: Build a weighted bipartite matrix using positional counting

In bibnets: Importing, Constructing, and Exporting Bibliometric Networks

Build a weighted bipartite matrix using positional counting

Description

For position-dependent counting methods, this replaces the binary bipartite matrix entries with positional weights derived from author order.

Usage

build_author_bipartite(
  data,
  field = "authors",
  counting = "full",
  position_weights = c(1, 0.8, 0.6, 0.4),
  first_last_weight = 2,
  deduplicate = TRUE,
  sep = ";",
  strip_quotes = TRUE
)

Arguments

data	A data frame with id and authors (list-column where author order is preserved).
counting	Character. Counting method.
position_weights	Numeric vector for counting = "position_weighted".
first_last_weight	Numeric for counting = "first_last".

Value

A sparse weighted bipartite matrix (works x authors).

bibnets documentation built on June 19, 2026, 1:06 a.m.