as_tweet_network: Convert Various Objects to 'network' graphs.

In knapply/tweetio: Really, Really, Ridiculously Fast I/O, Transformation, and Analytical Routines Twitter Data

Description

Convert Various Objects to network graphs.

Usage

as_tweet_network(
  x,
  target_class = target_class,
  all_status_data = all_status_data,
  all_user_data = all_user_data,
  ...
)

## S3 method for class 'proto_net'
as_tweet_network(x, ...)

## S3 method for class 'data.frame'
as_tweet_network(
  x,
  target_class = c("user", "hashtag", "url", "media"),
  all_status_data = FALSE,
  all_user_data = FALSE,
  ...
)

Arguments

x	Tweet data frame or proto_net.
target_class	character(1L), Default: "user". The class of nodes to use as the second half of each dyad (target/to/head). See Details.
all_status_data	logical(1L), Default: FALSE. Whether to attach all relevant status data to the edges data frame, which can then be used as edge attributes for downstream tasks.
all_user_data	logical(1L), Default: FALSE. Whether to attach all relevant user data to the nodes data frame, which can then be uses as node attributes for downstream tasks.
...	Arguments passed to or from other methods.

Author(s)

Brendan Knapp [e-mail]

See Also

as_proto_net(), as_tweet_igraph()

Examples

path_to_tweet_file <- example_tweet_file()
tweet_df <- read_tweets(path_to_tweet_file)

tweet_df %>% 
  as_tweet_network()
  
tweet_df %>% 
  as_proto_net() %>% 
  as_tweet_network()
  
tweet_df %>% 
  as_tweet_network(all_status_data = TRUE)
  
tweet_df %>% 
  as_tweet_network(all_user_data = TRUE)

knapply/tweetio documentation built on Dec. 22, 2020, 7:15 p.m.