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Twitter tsunami early warning network : a social network analysis of Twitter information flows

Chatfield, Akemi Takeoka and Brajawidagda, Uuf 2012, Twitter tsunami early warning network : a social network analysis of Twitter information flows, in ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012, ACIS, [Geelong, Vic.], pp. 1-10.

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Title Twitter tsunami early warning network : a social network analysis of Twitter information flows
Author(s) Chatfield, Akemi Takeoka
Brajawidagda, Uuf
Conference name Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria)
Conference location Geelong, Victoria
Conference dates 3-5 Dec. 2012
Title of proceedings ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Editor(s) Lamp, JohnORCID iD for Lamp, John orcid.org/0000-0003-1891-0400
Publication date 2012
Conference series Australasian Conference on Information Systems
Start page 1
End page 10
Total pages 10
Publisher ACIS
Place of publication [Geelong, Vic.]
Keyword(s) Twitter
tsunami early warning network
social network analysis
Indonesia’s disaster management agencies
Summary In the aftermath of earthquakes, tsunamis, such as the 2011 Great East Japan Tsunami, caused enormous damage around the world. With the extreme disaster events of the past, nations improved disaster preparedness and response through sensors and tsunami early warning systems. Even with system usage, however, governments still need to warn the targeted citizens – who may be anywhere within the vulnerable areas – of predicted tsunami and ordered mass evacuations within a very limited lead time. While social media research is on the rise outside the domain of social networking, very little is written about Twitter use for tsunami early warning. In this research, therefore, we examined the utility of Twitter as a tsunami early warning network, which engages citizens and disaster management agencies in diffusing disaster information. We conducted a social network analysis of Twitter information flows among the central disaster warning agency’s Twitter followers during the 2012 Indonesia Earthquake.
Notes Reproduced with the kind permission of the copyright owner.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Related work DU:30049020
Copyright notice ©2012, The Authors/ACIS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049113

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