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Emotional Reactions to Real-World Events in Social Networks

  • Thin Nguyen
  • Dinh Phung
  • Brett Adams
  • Svetha Venkatesh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7104)

Abstract

A convergence of emotions among people in social networks is potentially resulted by the occurrence of an unprecedented event in real world. E.g., a majority of bloggers would react angrily at the September 11 terrorist attacks. Based on this observation, we introduce a sentiment index, computed from the current mood tags in a collection of blog posts utilizing an affective lexicon, potentially revealing subtle events discussed in the blogosphere. We then develop a method for extracting events based on this index and its distribution. Our second contribution is establishment of a new bursty structure in text streams termed a sentiment burst. We employ a stochastic model to detect bursty periods of moods and the events associated. Our results on a dataset of more than 12 million mood-tagged blog posts over a 4-year period have shown that our sentiment-based bursty events are indeed meaningful, in several ways.

Keywords

Emotional reaction sentiment index sentiment burst bursty event 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Thin Nguyen
    • 1
  • Dinh Phung
    • 1
  • Brett Adams
    • 1
  • Svetha Venkatesh
    • 1
  1. 1.Curtin UniversityAustralia

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