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visionion's Introduction

development on visionion has ended.
sorry, but it didn't work out.
parts may be resurrected in the trice analytics suite for Tor metrics data.
january 2017

visionion

visionion aims to provide a webbased visualization tool for Tor metrics data.

The Tor project is primarily a system to provide a user with anonymity while on the internet. It adds to this some means for censorship circumvention as adversaries try to block access to Tor alltogether. The Tor infrastructure is comprised of several types of network nodes, and a lot thereof.

Visualizing all the parts of this network in a meaningful way is propably not possible but of course insights can be drawn from combining different aspects and sources in one view. Visionion aims to integrate and visualize all available data in a generic and easily extensible fashion. These generic views can then be combined and tailored to elucidate structural patterns and hidden aspects in the data.

visionion's People

Contributors

tomlurge avatar kloesing avatar hellais avatar makepanic avatar

Stargazers

Letty avatar  avatar Aaron Zauner avatar Dr. K. D. Murray avatar isis agora lovecruft avatar Yue Chen avatar  avatar  avatar

Watchers

 avatar  avatar James Cloos avatar  avatar

Forkers

hellais

visionion's Issues

Users per hour are not 1/24 of users per day

When we divided numbers of users per day by 24 in order to get the number of users per hour, this was a mistake. We should have written the very same number of users in the hourly data.

Here's why: we calculate the number of users per day by dividing the total number of consensus requests by 10, assuming that every continuously connected client makes 10 consensus requests per day. The result is the theoretical average number of clients that are connected at any given time on that day. There could have been 10% fewer users in the morning and 10% more users in the afternoon, but we won't find out. This number of users is the same when considering the whole day or considering a single hour of it. That's why we need to undo the step where we divide by 24.

Similarly, when we want to know the number of users per week, we can only calculate the average of the 7 days in a week. We wouldn't want to sum up these 7 numbers and state that this is the number of users per week, because what would that tell us?

To give another example, if we knew that there were 480 relays on Linux on a given day, and we wanted to know that number per hour, we wouldn't divide by 24 and say that there were 20 relays at 00:00. The reason is that 480 is already a mean value computed over an entire day, just like the user number per day is a mean value calculated over the day.

I can prepare a patch to the Java importer if you agree with this change.

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