Socia fingerprints of unemployment
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https://figshare.com/articles/dataset/Socia_fingerprints_of_unemployment/1316641/1
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<strong>The following datasets are associated to the paper the "Social Fingerprints of Unemployment"</strong> Llorente A, Garcia-Herranz M, Cebrian M, Moro E (2015) Social Media Fingerprints of<br>Unemployment. PLoS ONE 10(5): e0128692. doi: 10.1371/journal.pone.0128692 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128692 <strong><br></strong> <strong>Description of the files in this folder</strong> This folder contains two (2) files<br><em>Tij.csv</em><br><em>table_municipalities.csv</em> <strong>Tij.csv</strong><br>This files contains the matrix Tij, i.e. the total number of trips between different municipalities in our database. The file has four columns<br>i -> the municipality origin id of the trips<br>j -> the municipality destination id of the trips<br>Tij -> the number of trips between i and j (symmetric)<br>dij -> the distance between municipalities <strong>table_municipalities.csv</strong><br>This files contains the demographic, unemployment and Twitter variables for each of the municipalities considered. The file has 16 columns<br>id -> the official id of the municipality<br>pobTOT -> total population of the municipality (as of Jan 2013)<br>pobACT -> total active (employable) population of the municipality<br>pobUNEMP -> total population unemployed in the municipality<br>pobACTYOUNG -> total active young (below 25 years) population of the municipality<br>pobUNEMPYOUNG -> total young (below 25 years) population unemployed in the municipality<br>ntwsTOT -> total number of tweets geolocalized in the municipality<br>ntwsWDAY -> total number of tweets from Monday to Friday (working days) in the municipality<br>S-geo -> Geographical Entropy of the trips from/to the municipality<br>S-social -> Social Entropy of the communications fromt/to the municipality<br>nusers -> Total number of users with "home" in the municipality (see paper text)<br>morning -> Total number of tweets between 8-10am during working days in the municipality<br>afternoon -> Total number of tweets between 3-5pm during working days in the municipality<br>night -> Total number of tweets between 12-3am during working days in the municipality<br>nmiss -> Total number of misspellers in the municipality<br>emp -> Total number of tweets mentioning "employment" Id's of the municipalities correspond with the official id's at<br>http://www.ine.es/daco/daco42/codmun/codmun10/10codmunmapa.htm
提供机构:
figshare
创建时间:
2016-01-19



