build_bipartite: Build a bipartite incidence matrix from bibliometric data

In bibnets: Importing, Constructing, and Exporting Bibliometric Networks

Build a bipartite incidence matrix from bibliometric data

Description

Constructs a sparse works x entities two-mode matrix from a data frame with a list-column. This is the core engine behind all network construction functions.

Usage

build_bipartite(
  data,
  field,
  min_freq = 1L,
  deduplicate = TRUE,
  sep = ";",
  strip_quotes = TRUE
)

Arguments

data	A data frame with at least columns id and the field specified.
field	Character. Name of the list-column containing entities (e.g., "authors", "references", "keywords").
min_freq	Integer. Minimum number of occurrences for an entity to be included. Default 1 (no filtering).
sep	Character. Separator used to split field when it is a plain character column. Default ";".
strip_quotes	Logical. Strip surrounding quote characters from entities. Default TRUE.

Value

A sparse dgCMatrix with rows = works (named by id) and columns = unique entities.

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