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Socia fingerprints of unemployment

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posted on 2015-02-24, 23:37 authored by Alejandro LlorenteAlejandro Llorente, Manuel Garcia-Herranz, Manuel Cebrian, Esteban MoroEsteban Moro

The following datasets are associated to the paper the "Social Fingerprints of Unemployment"

Llorente A, Garcia-Herranz M, Cebrian M, Moro E (2015) Social Media Fingerprints of
Unemployment. PLoS ONE 10(5): e0128692. doi: 10.1371/journal.pone.0128692

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128692


Description of the files in this folder

This folder contains two (2) files
Tij.csv
table_municipalities.csv

 

Tij.csv
This files contains the matrix Tij, i.e. the total number of trips between different municipalities in our database. The file has four columns
i -> the municipality origin id of the trips
j -> the municipality destination id of the trips
Tij -> the number of trips between i and j (symmetric)
dij -> the distance between municipalities

table_municipalities.csv
This files contains the demographic, unemployment and Twitter variables for each of the municipalities considered. The file has 16 columns
id -> the official id of the municipality
pobTOT -> total population of the municipality (as of Jan 2013)
pobACT -> total active (employable) population of the municipality
pobUNEMP -> total population unemployed in the municipality
pobACTYOUNG -> total active young (below 25 years) population of the municipality
pobUNEMPYOUNG -> total young (below 25 years) population unemployed in the municipality
ntwsTOT -> total number of tweets geolocalized in the municipality
ntwsWDAY -> total number of tweets from Monday to Friday (working days) in the municipality
S-geo -> Geographical Entropy of the trips from/to the municipality
S-social -> Social Entropy of the communications fromt/to the municipality
nusers -> Total number of users with "home" in the municipality (see paper text)
morning -> Total number of tweets between 8-10am during working days in the municipality
afternoon -> Total number of tweets between 3-5pm during working days in the municipality
night -> Total number of tweets between 12-3am during working days in the municipality
nmiss -> Total number of misspellers in the municipality
emp -> Total number of tweets mentioning "employment"

 

Id's of the municipalities correspond with the official id's at
http://www.ine.es/daco/daco42/codmun/codmun10/10codmunmapa.htm

 

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