The majority of people who made commits on the repository had a nickname or a personal name so it was easy to search, using Google search engine, from where they were coding. We have geolocalized the work of every coder who worked on the Tor repository on Gitweb. We have crossed the data with the number of Tor's exit node in a determinate nation (dan.meu ), looking for some link between the two dataset.
It is possible to see, using Cartodb, how much is the Index of Activity (IoA) of a single nation (sum of all the IoA of every coder of that nation, from the beginning of the Tor Project) seeing the width of the circle: nations with bigger IoA, bigger circle. The saturation of the color of the nation is used to determine the quantity of Tor Browser's exit node in it.
We have downloaded all the commits done in the Tor repository (the main repository of the project) on the Tor Project repository browser on Gitweb. Using Google search engine we have geolocalized the majority of coders who worked in the repository and we have summed same-nations IoA using Microsoft Excel. Thanks to Cartodb we created an interactive map showing the quantity of IoA in every nation. We have downloaded from dan.meu the quantity of Tor Browser's exit nodes in a single minute of a day, and we checked the result sometimes: the number of exit nodes per region was always nearly the same. Using cartodb we added this information to the previously created map.
As was easy to foresee, the nations with the highest IoA are the United States of America and Germany (the two nations from where the first three coder are coding), and every other nation is less than them. It is more interesting to see where are the majority of exit nodes: United States of America and Germany. So we can say there is a link between the nations where Tor Browser has born, and the nations where there are more Tor Browser's exit nodes.
