http://arnaucode.com/argos/

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

1. User analyzer
   • Word count
   • Weekly activity distribution
   • Daily activity distribution
   • Devices used
   • Hashtags most used count
   • Interactions with other users count
2. Unfollow all
3. Random follow
   • selects n number of accounts to follow, and follows n random accounts
4. Delete Tweets
5. Delete Favs (Likes)
6. Random tweet
   • post a tweet with content from a selected account
7. 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