1# projectFlock
 2
 3a twitter botnet with bots replying tweets with text generated by Markov chains
 4
 5##### generating text with Markov chains
 6The 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).
 7
 8#### Replying tweets with Markov chains
 9When 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.
10
11In the following examples, the bots ("andreimarkov", "dodecahedron", "projectNSA") are replying some people.
12
13![Argos](https://raw.githubusercontent.com/arnaucode/projectFlock/master/screenshots/01.png "01")
14
15![Argos](https://raw.githubusercontent.com/arnaucode/projectFlock/master/screenshots/02.jpeg "02")
16
17![Argos](https://raw.githubusercontent.com/arnaucode/projectFlock/master/screenshots/03.jpeg "03")
18
19![Argos](https://raw.githubusercontent.com/arnaucode/projectFlock/master/screenshots/04.jpeg "04")
20
21
22configuration file example (flockConfig.json):
23```
24[{
25        "title": "account1",
26        "consumer_key": "xxxxxxxxxxxxx",
27        "consumer_secret": "xxxxxxxxxxxxx",
28        "access_token_key": "xxxxxxxxxxxxx",
29        "access_token_secret": "xxxxxxxxxxxxx"
30    },
31    {
32        "title": "account2",
33        "consumer_key": "xxxxxxxxxxxxx",
34        "consumer_secret": "xxxxxxxxxxxxx",
35        "access_token_key": "xxxxxxxxxxxxx",
36        "access_token_secret": "xxxxxxxxxxxxx"
37    },
38    {
39        "title": "account3",
40        "consumer_key": "xxxxxxxxxxxxx",
41        "consumer_secret": "xxxxxxxxxxxxx",
42        "access_token_key": "xxxxxxxxxxxxx",
43        "access_token_secret": "xxxxxxxxxxxxx"
44    }
45]
46
47```