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preprocessing_script.R
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preprocessing <- function(data) {
scopus_cleaned <-
abelardo_scopus |>
select(SR, CR) |>
na.omit() |>
separate_rows(CR, sep = "; ") |>
mutate(PY = str_extract(CR, "\\([0-9]{4}\\)"),
PY = str_remove_all(PY, "[\\(\\)]"),
PY = as.numeric(PY)) |>
na.omit() |>
mutate(AU = str_extract(CR, ".*\\([0-9]{4}\\)"),
AU = str_extract(AU, ".*\\.,"),
AU = gsub("([^,]+,[^,]+),", "\\1;", AU),
AU = str_sub(AU, 1, nchar(AU)-1),
AU = str_replace_all(AU,
pattern = "; ",
replacement = ";"),
AU = str_remove_all(AU, pattern = "\\."),
AU = str_remove_all(AU, pattern = ",")) |>
mutate(type_ref = if_else(str_detect(CR,
"\\., \\("), 2, # books
if_else(str_detect(CR,
"^\\([0-9]{4}\\)"), 3,
if_else(str_detect(CR,
" \\([0-9]{4}\\), "), 4,
1)))) |> # papers
mutate(TI = if_else(type_ref == 1,
str_extract(CR,
".*\\([0-9]{4}\\)"),
CR)) |>
mutate(TI = if_else(type_ref == 1,
str_remove(TI, "\\([0-9]{4}\\)"),
TI)) |>
mutate(TI = if_else(type_ref == 1,
str_remove(TI, ".*\\., "),
TI)) |>
mutate(TI = if_else(type_ref == 1,
str_trim(TI),
TI)) |>
mutate(TI = if_else(type_ref == 2,
str_extract(CR,
"\\([0-9]{4}\\).*"),
TI)) |>
mutate(TI = if_else(type_ref == 2,
str_remove(TI, "\\([0-9]{4}\\)"),
TI)) |>
mutate(TI = if_else(type_ref == 2,
str_remove(TI, ", [0-9].*"),
TI)) |>
mutate(TI = if_else(type_ref == 2,
str_trim(TI),
TI)) |>
mutate(TI = if_else(type_ref == 3,
str_remove(CR, "\\([0-9]{4}\\)"),
TI)) |>
mutate(TI = if_else(type_ref == 3,
str_remove(TI, ", ,.*"),
TI)) |>
mutate(TI = if_else(type_ref == 3,
str_trim(TI),
TI)) |>
mutate(TI = if_else(type_ref == 4,
str_extract(CR,
".* \\([0-9]{4}\\) "),
TI)) |>
mutate(TI = if_else(type_ref == 4,
str_remove(TI, "\\([0-9]{4}\\)"),
TI)) |>
mutate(TI = if_else(type_ref == 4,
str_remove(TI, ".*\\., "),
TI)) |>
mutate(TI = if_else(type_ref == 4,
str_trim(TI),
TI)) |>
mutate(JI = if_else(type_ref == 1,
str_remove(CR, ".*\\([0-9]{4}\\)"),
CR)) |>
mutate(JI = if_else(type_ref == 1,
str_remove(JI, ", .*"),
JI)) |>
mutate(JI = if_else(type_ref == 1,
str_trim(JI),
JI)) |>
dplyr::filter(type_ref == 1) |>
dplyr::filter(JI != "") |>
dplyr::mutate(JI = str_remove_all(JI, "\\.")) |>
dplyr::mutate(SR_ref = gsub("^(.*?);.*", "\\1", AU),
SR_ref = str_c(SR_ref, ", ", PY, ", ", JI, sep = "")) |>
tibble::add_column(DE = NA, .after = "AU",
ID = NA,
C1 = NA,
AB = NA,
PA = NA,
AR = NA,
chemicals_cas = NA,
coden = NA,
RP = NA,
DT = NA,
DI = NA,
BE = NA,
FU = NA,
BN = NA,
SN = NA,
SO = NA,
LA = NA,
TC = NA,
PN = NA,
page_count = NA,
PP = NA,
PU = NA,
PM = NA,
DB = NA,
sponsors = NA,
url = NA,
VL = NA,
FX = NA,
AU_UN = NA,
AU1_UN = NA,
AU_UN_NR = NA,
SR_FULL = NA) |>
dplyr::select(AU, DE, ID, C1, CR, JI, AB, PA, AR, chemicals_cas,
coden, RP, DT, DI, BE, FU, BN, SN, SO,
LA, TC, PN, page_count, PP, PU, PM, DB, sponsors, url,
VL, PY, FX, AU_UN, AU1_UN, AU_UN_NR, SR_FULL, SR, SR_ref)
preprossed_data <-
data |>
bind_rows(scopus_cleaned )
return(preprossed_data)
}
get_asn <- function(data) {
data_tidied_scopus_ref <-
data |>
dplyr::select(SR, CR) |>
separate_rows(CR, sep = "; ") |>
na.omit() |>
mutate(PY = str_extract(CR, "\\([0-9]{4}\\)"),
PY = str_remove_all(PY, "[\\(\\)]")) |>
na.omit() |>
mutate(AU = str_extract(CR, ".*\\([0-9]{4}\\)"),
AU = str_extract(AU, ".*\\.,"),
AU = gsub("([^,]+,[^,]+),", "\\1;", AU),
AU = str_sub(AU, 1, nchar(AU)-1),
AU = str_replace_all(AU,
pattern = "; ",
replacement = ";"),
AU = str_remove_all(AU, pattern = "\\."),
AU = str_remove_all(AU, pattern = ",")) |>
na.omit()|>
rename(main_ref = SR,
id_ref = CR)
dummy <-
data_tidied_scopus_ref |>
dplyr::select(AU, PY) |>
mutate(PY = as.numeric(PY)) |>
bind_rows(data |>
dplyr::select(AU, PY)) |>
unique()
asn <-
biblioNetwork(M = data.frame(dummy),
analysis = "collaboration",
network = "authors") |>
graph_from_adjacency_matrix(mode = "undirected",
weighted = TRUE) |>
simplify() |>
as_tbl_graph() |>
activate(nodes) |>
mutate(communities = group_components(type = "weak")) |>
filter(communities == 1)
return(asn)
}