Package index • bibnets

Read scholarly data

Import metadata from Scopus, Web of Science, OpenAlex, BibTeX, RIS, Lens.org, Dimensions, Crossref, and generic CSV files.

read_biblio(): Read bibliometric data
read_scopus(): Read Scopus CSV export
read_wos(): Read Web of Science plaintext or tab-delimited export
read_openalex(): Convert OpenAlex data to bibnets format
read_openalex_csv(): Read a flat OpenAlex CSV export
read_bibtex(): Read a BibTeX file
read_ris(): Read an RIS file
read_lens(): Read Lens.org CSV export
read_dimensions(): Read Dimensions CSV export
read_crossref(): Convert Crossref API data to bibnets format

Build networks

Construct co-authorship, co-citation, bibliographic coupling, keyword co-occurrence, source, country, institution, and custom co-networks.

author_network(): Build an author network
document_network(): Build a document network
reference_network(): Build a reference network
keyword_network(): Build a keyword co-occurrence network
source_network(): Build a source (journal) network
institution_network(): Build an institution network
country_network(): Build a country network
conetwork(): Build a co-occurrence network from any field

Temporal and historical analysis

Sliding, fixed, and cumulative temporal windows; Garfield historiographs; local citation scoring.

temporal_network(): Build time-windowed networks
historiograph(): Build a historiograph (chronological citation network)
local_citations(): Compute local citation scores

Reduce and filter networks

Backbone extraction, edge thresholding, and top-node filtering.

backbone(): Extract network backbone using the disparity filter
prune(): Prune a weighted edge list
filter_top(): Filter edges to top-n nodes

Normalize edge weights

normalize(): Normalize a co-occurrence matrix

Export networks

Convert edge lists to igraph, tidygraph, cograph, Gephi CSV, GraphML, and sparse matrices.

to_gephi(): Export to Gephi node and edge tables
to_graphml(): Export to GraphML
to_igraph(): Convert edge data frame to igraph
to_tbl_graph(): Convert edge data frame to tbl_graph
to_matrix(): Convert edge data frame to adjacency matrix
to_cograph(): Prepare network for cograph::splot()

Author names

Reorder and split author names into components before building author networks.

parse_names(): Reorder and parse author names

Utilities

split_field(): Parse semicolon-delimited strings into list-column
print(<bibnets_network>): Print a bibnets network edge list
summary(<bibnets_network>): Summarise a bibnets network

Datasets

biblio_data: Example bibliometric dataset
scopus_quantum_cloud: Scopus dataset — Green Cloud Computing and Quantization (2020–2025)
learning_analytics: Learning analytics dataset (OpenAlex)