Edit the function documentation to address specific issues and enhance clarity. This includes removing obsolete information about min_repetition in the detect_groups documentation and correcting typos in the vignettes.
Fixed a bug that under certain circumstances prevented the number of shares from being calculated correctly with the accounts_stats function.
A major release with many important breaking changes. Package users upgrading to version 2.0.0
should pay attention to the functions detect_groups
and generate_coordinated_network
- completely reworked the code that generates the coordination network. There is now a
new function
generate_coordinated_network
- The results from
detect_groups
can now be subset into "faster" subnetworks with the new functionflag_speed_share
- The
prep_data
function helps to bring other social media data into the right shape
Most changes are related to two areas of improvement: the way how the coordination network is generated and naming conventions used in this package
detect_coordinated_groups
function was renamed todetect_groups
, alognside we also renamed themin_repetition
tomin_participation
to better reflect its meaning. The function generally performs still performs the same operation as before.generate_network
was removed and replaced withgenerate_coordination_network
, which is a completely rewritten approach to the network generation.- We globally changed the wording of "user" to "account", which is more faithful to the theoretical framework of this package. The term "account" describes the data much better.
- Therefore, the column formally named
id_user
(found in many functions) was now renamed toaccount_id
We decided to drop the feature to detect cotweeting behaviour based on text similarity for this
release. In practical applications, the detect_similar_text
function was not performing up
to our standards and we are currently looking into a fresh approach to implement such a feature.
This is a minor release adding new features
- Added
detect_similar_text()
function that finds tweets based on text similarity (cotweets). Refer to the documentation for details. - The
reshape_tweets()
function was extended with theintent = "cotweet"
, which reformats your data to fit in thedetect_similar_text()
function