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Mapping Spatial Information Landscape in Cyberspace with Social Media

  • Jiue-An Yang
  • Ming-Hsiang Tsou
  • Brian Spitzberg
  • Li An
  • Jean Mark Gawron
  • Dipak Gupta
Chapter
Part of the GeoJournal Library book series (GEJL, volume 118)

Abstract

This chapter describesa Spatial Web Automatic Reasoning and Mapping System (SWARMS) for visualizing and analyzing space-time dimensions of information landscape represented by a social media channel—Twitter. SWARMS utilizes computer programming and Twitter Search APIs to retrieve tweets by searching keywords from the Twitter database. Two case studies were conducted to analyze the spatial information landscape: the 2012 U.S. Presidential Election and 2012 summer movies. The two case studies were selected because these events can have a reality check by comparing to the actual election results and the movie box office revenue. Our preliminary spatial analysis indicates that there is correlation and geographic linkage between cyberspace communications and the real-world events. However, some cyberspace representation maps or information landscapes may be distorted from reality to degrees that depend on the media communication channels and varies by topics. As a pilot study of mapping cyberspace to real space, this chapter presents two case studies on visualizing information landscape in cyberspace and also addresses some limitations and suggestions for future research in this domain.

Keywords

Spatiotemporal analysis Social media Geovisualization Information landscapes CyberGIS 

Notes

Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant No. 1416509, IBSS project titled “Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks”. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2019

Authors and Affiliations

  • Jiue-An Yang
    • 1
  • Ming-Hsiang Tsou
    • 1
  • Brian Spitzberg
    • 2
  • Li An
    • 1
  • Jean Mark Gawron
    • 3
  • Dipak Gupta
    • 4
  1. 1.Department of GeographySan Diego State UniversityDiegoUSA
  2. 2.School of CommunicationSan Diego State UniversityDiegoUSA
  3. 3.Department of LinguisticsSan Diego State UniversityDiegoUSA
  4. 4.Department of Political ScienceSan Diego State UniversityDiegoUSA

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