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| id|title |...|cited_by_count| referenced_works |cited_by |...| | 100|foo |...| 1| 98, 99 |101 |...| | 200|bar |...| 2| 198, 199 |201, 202 |...| | 300|wug |...| 2| 296, 297, 298, 299 |301, 302 |...|

Usage

snowball2df(data, verbose = FALSE)

Arguments

data

List result from `oa_snowball`.

verbose

Logical. If TRUE, print information on wrangling process.

Value

Tibble/data.frame of works with additional columns: append `citing`, `backward_count`, `cited_by`, `forward_count`, `connection`, and `connection_count.` For each work/row, these counts are WITHIN one data search, and so `forward_count` <= `cited_by_count`.

Consider the universe of all works linked to a set of starting works, (`oa_input = TRUE`) for each work/row i: - citing: works in the universe that i cites - backward_count: number of works in the universe that i cites - cited_by: works that i is cited by - forward_count: number of works in the universe that i is cited by - connection: works in the universe linked to i - connection_count: number of works in the universe linked to i (degree of i)

Examples

if (FALSE) {
flat_snow <- snowball2df(oa_snowball(
  identifier = "W1516819724",
  verbose = TRUE
))

flat_snow[, c("id", "connection", "connection_count")]
}