KeywordGrowth: Yearly occurrences of top keywords/terms

Description Usage Arguments Value Examples

View source: R/keywordGrowth.R

Description

It calculates yearly occurrences of top keywords/terms.

Usage

1
KeywordGrowth(M, Tag = "ID", sep = ";", top = 10, cdf = TRUE)

Arguments

M

is a data frame obtained by the converting function convert2df. It is a data matrix with cases corresponding to articles and variables to Field Tag in the original WoS or SCOPUS file.

Tag

is a character object. It indicates one of the keyword field tags of the standard ISI WoS Field Tag codify (ID or DE) or a field tag created by termExtraction function (TI_TM, AB_TM, etc.).

sep

is the field separator character. This character separates strings in each keyword column of the data frame. The default is sep = ";".

top

is a numeric. It indicates the number of top keywords to analyze. The default value is 10.

cdf

is a logical. If TRUE, the function calculates the cumulative occurrences distribution.

Value

an object of class data.frame

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
data(scientometrics, package = "bibliometrixData")
topKW=KeywordGrowth(scientometrics, Tag = "ID", sep = ";", top=5, cdf=TRUE)
topKW

# Plotting results
## Not run: 
install.packages("reshape2")
library(reshape2)
library(ggplot2)
DF=melt(topKW, id='Year')
ggplot(DF,aes(Year,value, group=variable, color=variable))+geom_line

## End(Not run)

xiangtuochen/bibliometrixfullname documentation built on Jan. 18, 2022, 7:05 p.m.