[tor-bugs] #2718 [Metrics]: Analyze Tor usage data for ways to automatically detect country-wide blockings

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#2718: Analyze Tor usage data for ways to automatically detect country-wide
blockings
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 Reporter:  karsten  |          Owner:          
     Type:  task     |         Status:  assigned
 Priority:  normal   |      Milestone:          
Component:  Metrics  |        Version:          
 Keywords:           |         Parent:          
   Points:           |   Actualpoints:          
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Comment(by karsten):

 And here's another reply from George, also pasted here with his
 permission:

 [Individual relays] Roger mentioned to me that you have data from
 individual relays that is quantised to the closest power of 2. I have not
 yet started thinking about using those. We could pretend indeed that they
 each are a "separate tor" and run the detector on them -- this is still
 likely to miss instances of censorship if the numbers are very low. It is
 something we will have to investigate after seeing the data feeds.

 [Better model] You are right that we can make a more complex model that
 combines observations from the past 1, 7 or 28 days -- I am happy to work
 on that next.

 [Code] I attach the python code after the most mild clean up. Right now it
 has no interface and you have to manually edit the source to get to the
 variables of interest:

 def main():
   # Change these to customize script
   CSV_FILE = "direct-users.csv"
   GRAPH_DIR = "img"
   INTERV = 7
   DAYS= 6 * 31
   [...]

 You can also use the functions & classes to define a set of graphs you
 want with different days, intervals, colors, etc (the code should be happy
 being loaded as a library). Its under a Clear BSD license (BSD + no-patent
 license -- since I do not want to compromise my employer's IP
 unknowingly). Feel free to put it in version control.

 [Freakish weekly patterns in South Korea] Please do tell me they are not
 normal, and there is some explanation about them.

-- 
Ticket URL: <https://trac.torproject.org/projects/tor/ticket/2718#comment:4>
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