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graphTweets 0.5.3

Moving rtweet to Suggests.

graphTweets 0.5.2

• gt_add_meta Added to add custom meta data to nodes.
• gt_preproc_edges Added to preprocess edges before comoputing nodes.

graphTweets 0.5.1

Better use of tidyeval to improve usage of the package in functions.

graphTweets 0.5.0

• gt_co_edges replaces gt_edges_hashes, it now works with other columns than just hashtags.
• gt_edges_hash is deprecated in favour of gt_edges.
• gt_edges_bind and gt_co_edges_bind added to bind edges together and build more complex graphs.
• Escape hatches, functions ending in _ are no longer necessary and are thus deprecated.

The origin gt_edges functions, first part of the package in 2014, was extracting @tagged users from tweets’ text with convoluted regular expressions: it is no longer necessary as rtweet now returns mentions_screen_name, hence the aforementioned changes.

graphTweets 0.4.3

• Added gt_edges_hashes_ and gt_edges_hashes to build networks of #hashtags co-mentions.
• Added %<-% from the zeallot package to unpack the nodes and edges.
• Fixed gt_dyn bug where lifetime was not working properly.

graphTweets 0.4.2

Removed splitstackshape dependency ahead of its archival; now uses tidyr.

graphTweets 0.4.1

• gt_nodes returns number of n_edges, the number of edges the node is present in.
• gt_edges_hash and respective escape hatch added
• gt_dyn returns correct start and end.

graphTweets 0.4.0

Major release: overhaul to 1) make computations much faster, 2) make the whole package more tidyverse friendly and 3) switch to rtweet as main source.

• getEdges & getNodes are now deprecated in favour of gt_edges and gt_nodes
• dynamise deprecated in favour of gt_dyn
• magrittr pipe added.
• gt_collect added: use to get to collect edges and nodes as list.
• gt_graph added: use to convert to igraph object.

Performance

library(graphTweets)
library(rtweet)

token <- create_token("APP", "xxxXXxxxx", "xXXXxxXX")
tweets <- search_tweets("#rstats", token = token)

rbenchmark::benchmark(
  "v3.2" = {
    edges <- getEdges(as.data.frame(tweets), "screen_name", "text")
    g <- igraph::graph.data.frame(edges, TRUE)
  },
  "v4" = {
    tweets %>% 
      gt_edges_() %>%  
      gt_graph() -> g
  }
)

  test replications elapsed relative user.self sys.self user.child sys.child
1 v3.2          100    6.55    1.492      6.45     0.06         NA        NA
2   v4          100    4.39    1.000      4.33     0.05         NA        NA

graphTweets 0.3.2

• documentation corrected
• Better extract @handles
• Better cleans @handles (i.e.: white space)

graphTweets 0.3

• Fixed #1 issue, input check in dynamise
• Added dynamise

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They may not be fully stable and should be used with caution. We make no claims about them.
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