View source: R/source-network.R
| source_network | R Documentation |
Constructs a network between publication sources (journals, book series).
source_network(
data,
type = "coupling",
counting = "full",
similarity = "none",
threshold = 0,
min_occur = 1L,
top_n = NULL,
self_loops = FALSE,
deduplicate = TRUE,
format = "edgelist",
journal = "journal",
sep = ";",
references_sep = ";",
strip_quotes = TRUE,
id = NULL
)
data |
A data frame with |
type |
Character. |
counting |
Character. Counting method. Default |
similarity |
Character. Similarity measure. Default |
threshold |
Numeric. Minimum edge weight. Default 0. |
min_occur |
Integer. Minimum papers per source. Default 1. |
top_n |
Integer or NULL. Return only the top n edges by weight. Default NULL (all edges). |
self_loops |
Logical. If |
deduplicate |
Logical. If |
format |
Character. Output format:
|
journal |
Character. Name of the column containing the publication
source. Default |
sep |
Character. Separator used to split the entity column when it
is a plain character column rather than a list-column, e.g. |
references_sep |
Character. Separator for the |
strip_quotes |
Logical. If |
id |
Optional. Name of the column to use as the work identifier
(the matrix-row dimension). If |
Depends on format: a bibnets_network data frame (default),
a Gephi-ready data frame, an igraph graph, a cograph_network, or a
sparse matrix.
data(biblio_data)
source_network(biblio_data, "coupling")
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