Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events

Junghoon Chae, Dennis Thom, Yun Jangx, Sung Ye Kim, Thomas Ertl, David S. Ebert

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

2 Scopus citations

Abstract

In disaster management, analysis of public behavior plays an important role for evacuation planning. Unfortunately, finding meaningful information for analysis is challenging and collecting relevant data can be very costly. However, the growing dataset of Location-based Social Networks services with its time-stamped, geo-located data offers a new opportunity. Such spatiotemporal data has substantial potential to increase the situational awareness of local events and provide for both planning and investigation. In this paper, we present a visual analytics tool that provides users with interactive social media data analysis and investigation in order to help evacuation planning, analysis, and response. We demonstrate how to improve investigation by analyzing the extracted public behavior responses before and after the evacuation order during the natural disaster event, such as Hurricane Sandy.

Original languageEnglish
Title of host publication4th International EuroVis Workshop on Visual Analytics, EuroVA 2013 at EuroVis 2013
PublisherEurographics Association
Pages67-71
Number of pages5
ISBN (Electronic)9783905674552
DOIs
StatePublished - 2013
Externally publishedYes
Event4th International EuroVis Workshop on Visual Analytics, EuroVA 2013 at EuroVis 2013 - Leipzig, Germany
Duration: Jun 17 2013Jun 18 2013

Publication series

NameInternational Workshop on Visual Analytics
ISSN (Electronic)2664-4487

Conference

Conference4th International EuroVis Workshop on Visual Analytics, EuroVA 2013 at EuroVis 2013
Country/TerritoryGermany
CityLeipzig
Period06/17/1306/18/13

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