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README.md
24
README.md
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# projectFlock
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# flock-botnet
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a twitter botnet with bots replying tweets with text generated by Markov chains
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A twitter flock botnet with bots replying tweets with text generated by Markov chains
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#### generating text with Markov chains
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Markov chain: https://en.wikipedia.org/wiki/Markov_chain
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##### generating text with Markov chains
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The algorithm calculates the probabilities of Markov chains, analyzing a considerable amount of text, for the examples, I've done it with the book "The Critique of Pure Reason", by Immanuel Kant (http://www.gutenberg.org/cache/epub/4280/pg4280.txt).
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#### Replying tweets with Markov chains
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### Replying tweets with Markov chains
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When the botnet is up working, the bots start streaming all the twitter new tweets containing the configured keywords. Each bot takes a tweet, analyzes the containing words, and generates a reply using the Markov chains previously calculated, and posts the tweet as reply.
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In the following examples, the bots ("andreimarkov", "dodecahedron", "projectNSA") are replying some people.
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-
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-
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-
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configuration file example (flockConfig.json):
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main.go
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main.go
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const version = "0.1-dev"
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func main() {
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c.Yellow("projectFlock")
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c.Yellow("flock-botnet")
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fmt.Println("---------------")
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c.Cyan("projectFlock initialized")
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c.Purple("https://github.com/arnaucode/projectFlock")
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c.Cyan("flock-botnet initialized")
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c.Purple("https://github.com/arnaucode/flock-botnet")
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fmt.Println("version " + version)
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fmt.Println("Reading flockConfig.json file")
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flock := readConfigTokensAndConnect()
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