Socia fingerprints of unemployment

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 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 ine.es/daco/daco42/codmun/codmun10/10codmunmapa.htm