Social Media Fingerprints of Unemployment

@inproceedings{Llorente2015SocialMF,
  title={Social Media Fingerprints of Unemployment},
  author={Alejandro Llorente and Manuel Garc{\'i}a-Herranz and Manuel Cebri{\'a}n and Esteban Moro Egido},
  booktitle={PloS one},
  year={2015}
}
  • Alejandro Llorente, Manuel García-Herranz, +1 author Esteban Moro Egido
  • Published in PloS one 2015
  • Computer Science, Physics, Medicine, Geography
  • Recent widespread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying human activity, mobility, and interpersonal communication. In the present work, we investigate whether deviations from these universal patterns may reveal information about the socio-economical status of geographical regions. We quantify the extent to which deviations in diurnal rhythm, mobility patterns, and… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 72 CITATIONS

    Computational Socioeconomics.

    VIEW 2 EXCERPTS
    CITES BACKGROUND & RESULTS

    FILTER CITATIONS BY YEAR

    2015
    2020

    CITATION STATISTICS

    • 2 Highly Influenced Citations

    • Averaged 11 Citations per year from 2017 through 2019

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 22 REFERENCES

    Finding community structure in networks using the eigenvectors of matrices.

    • Micaleah Newman
    • Mathematics, Physics, Medicine
    • Physical review. E, Statistical, nonlinear, and soft matter physics
    • 2006
    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Urban and regional models in geography and planning

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Geolocated twitter as the proxy for global mobility patterns

    • Bartosz Hawelka, Izabela Sitko, +3 authors Carlo Ratti
    • arXiv preprint arXiv:1311.0680,
    • 2013
    VIEW 2 EXCERPTS

    Maps of random walks on complex networks reveal community structure.

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Uncovering space-independent communities in spatial networks.

    VIEW 2 EXCERPTS