EQSA: Earthquake Situational Analytics from Social Media

Huyen N. Nguyen, Tommy Dang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper introduces EQSA, an interactive exploratory tool for earthquake situational analytics using social media. EQSA is designed to support users to characterize the condition across the area around the earthquake zone, regarding related events, resources to be allocated, and responses from the community. On the general level, changes in the volume of messages from chosen categories are presented, assisting users in conveying a general idea of the condition. More in-depth analysis is provided with topic evolution, community visualization, and location representation. EQSA is developed with intuitive, interactive features and multiple linked views, visualizing social media data, and supporting users to gain a comprehensive insight into the situation. In this paper, we present the application of EQSA with the VAST Challenge 2019: Mini-Challenge 3 (MC3) dataset.

Original languageEnglish
Title of host publication2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019 - Proceedings
EditorsRemco Chang, Daniel Keim, Ross Maciejewski
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-143
Number of pages2
ISBN (Electronic)9781728122847
DOIs
StatePublished - Oct 2019
Event14th IEEE Conference on Visual Analytics Science and Technology, VAST 2019 - Vancouver, Canada
Duration: Oct 20 2019Oct 25 2019

Publication series

Name2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019 - Proceedings

Conference

Conference14th IEEE Conference on Visual Analytics Science and Technology, VAST 2019
Country/TerritoryCanada
CityVancouver
Period10/20/1910/25/19

Keywords

  • EQSA
  • Earthquake Analysis
  • Interactive Visualization
  • Mini-Challenge 3
  • Social Media Data
  • VAST Challenge 2019
  • Visual Analytics
  • WordStream

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