Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)

Usability of small crisis data sets in the absence of big data

Authors
Avijit Paul, Axel Bruns
Corresponding Author
Avijit Paul
Available Online March 2013.
DOI
10.2991/icibet.2013.248How to use a DOI?
Abstract

Big data is big news in almost every sec-tor including crisis communication. How-ever, not everyone has access to big data and even if we have access to big data, we often do not have necessary tools to analyze and cross reference such a large data set. Therefore this paper looks at patterns in small data sets that we have ability to collect with our current tools to understand if we can find actionable information from what we already have. We have analyzed 164390 tweets collected during 2011 earthquake to find out what type of location specific information people mention in their tweet and when do they talk about that. Based on our analysis we find that even a small data set that has far less data than a big data set can be useful to find priority disaster specific areas quickly.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-57-4
ISSN
1951-6851
DOI
10.2991/icibet.2013.248How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Avijit Paul
AU  - Axel Bruns
PY  - 2013/03
DA  - 2013/03
TI  - Usability of small crisis data sets in the absence of big data
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 1140
EP  - 1143
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.248
DO  - 10.2991/icibet.2013.248
ID  - Paul2013/03
ER  -