• DocumentCode
    17382
  • Title

    Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics

  • Author

    Andrienko, Gennady ; Andrienko, Natalia ; Bosch, Harald ; Ertl, Thomas ; Fuchs, G. ; Jankowski, P. ; Thom, D.

  • Volume
    15
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    72
  • Lastpage
    82
  • Abstract
    An exploratory study of the potential of georeferenced Twitter data (using tweets from Seattle-area residents over a two-month period) extracts knowledge about people´s everyday life.
  • Keywords
    data analysis; data visualisation; knowledge acquisition; social networking (online); Seattle-area residents; georeferenced Twitter data; knowledge extraction; space-time visual analytics; thematic patterns; Analytical models; Geophysical measurements; Scientific computing; Social network services; Twitter; Visual analytics; georeferencing; scientific computing; visual analytics;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2013.70
  • Filename
    6550013
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=17382