Between 2011 and 2013, the Silk Road marketplace was able to attract transactions worth hundreds of millions of dollars worth of (bitcoin-based) transactions. However, relatively little is known about the geography of this global trade. Although the strong anonymity on darknet markets prohibits any data collection about the geography of consumption, there is a large amount of data available about the sale of such goods and services.This project thus seeks to employ techniques from computational social science and digital geography in order to achieve two primary objectives. First, we seek to scrape all relevant geographic information on darknet markets, building a re-usable data set at the country level (e.g. ‘the number of heroin sellers based in every country’, ‘the total number of vendors selling weapons in every country’ etc.). Second, we seek to map, visualize, and analyse those data: using multiple variables (the various categories of products and services) to ask ‘what is the geography of illicit products and services?’We think this is an interesting question to ask

Source: Economic Geographies of the Darknet — Oxford Internet Institute