Description
The data visualization displayed above shows six different networks meant to represent the connections between the different languages related to the research made. Six different seeds are set in the same position for each language. The first visualization is the total view of the connections and with a hovering function over each of the five languages, the most important connections between the seeds are going to be shown. In this way is given to the user the chance to compare two languages. By clicking on the language labels every connection comes up for the one selected. The main point of this visualization is to illustrate the fact that all these seeds are more reasonably connected in English language, which gives a start on the further research within US considering the fact that amphetamines, among all the other given possible countries are legal and more available in this area. A result is an interactive network graph in which you can compare the connections and explore them separately for five languages.
Before focusing on a specific geographical area, it was necessary to understand which part of the world suffer mostly the stimulants abuse. The research started with the assignment of the keywords (seeds) to find the connection between them on Wikipedia. As a result, six seeds have a clearer view on the topic: Student, Education, ADHD, Nootropic, Stimulants, Addiction. Moving forward the corresponding pages in English, French, German, Portuguese and Italian were found. Some of the exact corresponding pages were either missing or had a different meaning, as in the situation with German page “Student” that redirected to the “Schüler” which is pupil, so they had to replaced with the page “Student”. Using Seealsology a .GEXF graph file for each language was refined and the creation of the visualization started. First of all, the direct connection between the seeds or the lack of them was defined and the main connection points in all languages were illustrated with the size of the seed in each language. The more connection the seed receives from the others, the bigger is. Other connections that the seeds had were provided for a better perception and to define the nature of the relations with other seeds or the lack of it. Secondly, all the direct connections and connection points were combined for every language transferring it all to the single .ai file.
Protocol
Data
Data Source: Wikipedia
Timestamp: Nov 2018
View Data (900Kb)
Data were taken from Wikipedia using Seealsology and shows the amount of connections between the “Nootropic” group of wikis and the “Student” ones. The idea was to show the differences of these connections between different languages, so at the end it brought to 5 .gexf file, one for language: English, French, German, Italian and Portuguese.