Mapping Wikileaks
28/04/2011.
by Jonathan Stray, Julian Burgess. 2011
metalocus, JOSÉ JUAN BARBA
metalocus, JOSÉ JUAN BARBA
The location of the dot is abstract and not based on geography. Instead, dots with edges between them are pulled closer together. This produces a series of clusters, which are labelled by the words that are most "characteristic" of the reports in that cluster.
It's mapping 3,051 nodes (26.3% of 11,616 documents), connected by 106,660 edges, and 17,608 terms. The highest incidence (44,61%) relates to criminal events, with enemy action (29.47%) and explosive hazard (16.72%) following behind.