Open source twitter entropic toolkit written in Go lang
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build
.gitignore
LICENSE
README.md
analyzeDates.go
analyzeHashtags.go
analyzeSource.go
analyzeUserAccount.go
analyzeUserInteractions.go
analyzeWords.go
argos
argos.jpg
askForUsername.go
color.go
error.go
getOperations.go
main.go
optionAnalyzeTweet.go
optionAnalyzeUserFollowers.go
optionAnalyzeUserTweets.go
optionDeleteFavs.go
optionDeleteTweets.go
optionFollowRandom.go
optionTweetRandom.go
optionUnfollowAll.go
printSortedMapStringInt.go
readConfigTokensAndConnect.go
screen2.png
screen3.png
todo.md
twitterConfig_DEMO.json

README.md

http://arnaucode.com/argos/

argos Go Report Card

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

Argos

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

screen

screen

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