Description Usage Arguments Value See Also Examples
characterize_kw
calculates several keyword metrics from a scimeetr
object. The results are returned in a list of data frame. The metrics in the
table are: keywords frequency, keywords relative frequency, and keywords
relevance.
1 | characterize_kw(scimeetr_data, lambda = 0.4)
|
scimeetr_data |
An object of class scimeetr. |
lambda |
A number from 0 to 1. If 0 the relevance score would be equal to the relative frequency. If 1 for the relevance score would be equal to the frequency. |
A list of dataframe. The list length matchs the number of communities that the scimeetr object contains.
characterize_jo
for journal characterization,
characterize_ti
for title-word characterization,
characterize_ab
for abstract-word characterization,
characterize_au
for author characterization,
characterize_un
for university characterization,
characterize_co
for country characterization
1 2 3 4 5 6 7 8 9 10 | # Example with an object of class scimeetr (see import_wos_files() or
# import_scopus_files()) already in the workspace
keywords_list <- characterize_kw(scimeetr_list)
# Since this example shows how to load WOS from your system we need to run
# the following line to find the path to the exemple file
fpath <- system.file("extdata", package="scimeetr")
fpath <- paste(fpath, "/wos_folder/", sep = "")
# Then we can run the actual example
example_scimeetr_object <- import_wos_files(files_directory = fpath)
characterize_kw(example_scimeetr_object)
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