keyword_vis: Visualization of grouped keyword co-occurrence network

In akc: Automatic Knowledge Classification

Visualization of grouped keyword co-occurrence network

Description

Visualization of network-based keyword clustering, with frequency and co-occurrence information attached.

Usage

keyword_vis(tibble_graph, facet = TRUE, max_nodes = 10, alpha = 0.7)

Arguments

tibble_graph	A tbl_graph output by keyword_group.
facet	Whether the figure should use facet or not.
max_nodes	The maximum number of nodes displayed in each group.
alpha	The transparency of label. Must lie between 0 and 1. Default uses 0.7.

Details

When facet == TRUE,the function returns a faceted figure with limited number of nodes (adjuseted by max_nodes parameter).When facet == FALSE,all the nodes would be displayed in one network.Colors are used to specify the groups, the size of nodes is proportional to the keyword frequency, while the alpha of edges is proportional to the co-occurrence relationship between keywords.

Value

An object yielded by ggraph

See Also

ggraph

Examples

library(akc)

bibli_data_table %>%
  keyword_clean(id = "id",keyword = "keyword") %>%
  keyword_group(id = "id",keyword = "keyword") %>%
  keyword_vis()

# without facet
bibli_data_table %>%
  keyword_clean(id = "id",keyword = "keyword") %>%
  keyword_group(id = "id",keyword = "keyword") %>%
  keyword_vis(facet = FALSE)

akc documentation built on Jan. 6, 2023, 9:09 a.m.