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A General Framework For Event Detection From Social Media

  • Khatereh PolousEmail author
  • André Freitag
  • Jukka Krisp
  • Liqiu Meng
  • Smita Singh
Chapter
Part of the Advances in Geographic Information Science book series (AGIS)

Abstract

The availability of accurate and/or up-to-date mass data can stimulate the development of innovative approaches for the assessment of spatio-temporal processes. However, extracting meaningful information from these collections of user-generated data is a challenge. Event detection is an interesting concept in the era of Web 2.0 and ubiquitous Internet. Various existing event-detection algorithms share a very simple, yet powerful architecture model; pipes-&-filters. Using this model, the authors in this study developed a generic and extensible programming framework to find meaningful patterns out of heterogeneous and unstructured online data streams. The framework supports researchers with adapters to different social media platforms, optional preprocessing steps. Its graphical user interface supports users with an interactive graphical environment for setting up parameters and evaluating the results through maps, 3D visualization, and various charts. The framework has been successfully tested on Flicker and Instagram platforms for different time periods and locations to detect latent events.

Keywords

Event detection Knowledge discovery Flicker Instagram Social media Datastream mining 

Notes

Acknowledgments

The authors gratefully acknowledge the support by the International Graduate School of Science and Engineering (IGSSE), Technische Universität München, under project 7.07.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Khatereh Polous
    • 1
    Email author
  • André Freitag
    • 2
  • Jukka Krisp
    • 3
  • Liqiu Meng
    • 1
  • Smita Singh
    • 1
  1. 1.Department of CartographyTechnical University MunichMunichGermany
  2. 2.Department of InformaticsTechnical University MunichMunichGermany
  3. 3.Department of GeographyAugsburg UniversityAugsburgGermany

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