argos 
Open source twitter entropic toolkit. The main idea is to analyze, clean and generate public data, to add more entropy to the network.
Be half bot and half human, a new generation of cyborgs
The user analyzer features are insipired on the Python tweets_analyzer by x0rz https://github.com/x0rz/tweets_analyzer
[Disclamer]
This software was made to learn the Go syntax, it works, but the implementation is not in the optimal way. I don’t have time to maintain it.
Argos Panoptes
https://en.wikipedia.org/wiki/Argus_Panoptes
https://en.wikipedia.org/wiki/Panopticon
Current features
- User analyzer
- Word count
- Weekly activity distribution
- Daily activity distribution
- Devices used
- Hashtags most used count
- Interactions with other users count
- Unfollow all
- Random follow
- selects n number of accounts to follow, and follows n random accounts
- Delete Tweets
- Delete Favs (Likes)
- Random tweet
- post a tweet with content from a selected account
- Tweet analyzer
- analyze the retweets and detect Bots
needs a twitterConfig.json file on the /build folder with the content:
{
"consumer_key": "xxxxxxxxxxxxxxxx",
"consumer_secret": "xxxxxxxxxxxxxxxx",
"access_token_key": "xxxxxxxxxxxxxxxx",
"access_token_secret": "xxxxxxxxxxxxxxxx"
}
to run it: - go to the /build folder - open terminal - execute the script with:
./argos
- follow the instructions that appears on the terminal