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This is the library I used to decode the ISO digraphs:

  library(countrycode)
  countrycode("MX","iso2c","continent")
  countrycode("MX","iso2c","region")

But I played a bit with them to make them match my view of the world
(specially the Latin America part).

The continent is actually what I could call a subcontinent :) I guess
matter of interpretation :)

talking about interpretation, I did my own rezoning of the world for the
paper:

region and continent are the ones from the library. continent2 is the
one in the paper.

      id               country                 region       continent            continent2
 Length:1449        US     :547   Northern America:637   Africa  :  8   Canada and USA:637
 Class :character   CN     :142   Eastern Asia    :177   Americas:745   Latin America :108
 Mode  :character   CA     : 90   Western Europe  :116   Asia    :334   Africa        :  8
                    IN     : 65   Eastern Europe  : 89   Europe  :311   Europe        :311
                    BR     : 47   Southern Asia   : 83   Oceania : 51   Asia          :334
                    AU     : 43   South America   : 80                  Oceania       : 51
                    (Other):515   (Other)         :267


The code is in graphsAll.org

I have created a csv file with the ids of the tuples and their
corresponding locations: country, region, continent, continent2