Analyzing temporal-spatial evolution of rare events by using social media data

Xiaoyu Sean Lu, Mengchu Zhou, Liang Qi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Recently, some researchers attempt to find a relationship between the evolution of rare events and temporal-spatial patterns of social media activities. Their studies verify that the relationship exists in both time and spatial domains. However, few of them can accurately deduce a time point when social media activities are highly affected by a rare event. Thus, it is difficult to characterize an accurate temporal pattern of social media during the evolution of a rare event. This work proposes an innovative method to characterize the evolution of a rare event by analyzing social media activities. We find that there is a time difference between the event and social media activities in a time domain. This is conducive to investigate the temporal pattern of social media activities. The proposed method focuses on the intensity of information volume by adopting a clustering algorithm. Our case study focuses on a hurricane named Sandy in 2012. Twitter data collected around it is used to verify the effectiveness of the method. The results not only verify that a rare event and social media activities have strong correlation, but also reveal that they have a time difference. This work provides an effective and reliable method to find a temporal pattern of social media when a rare event occurs.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2684-2689
Number of pages6
ISBN (Electronic)9781538616451
DOIs
StatePublished - Nov 27 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: Oct 5 2017Oct 8 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period10/5/1710/8/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

Keywords

  • Big data
  • Clustering
  • Data processing
  • Rare events

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