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

By Avijit Paul and Axel Bruns

Abstract

Big data is big news in almost every sector including crisis communication. However, 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

Topics: 080109 Pattern Recognition and Data Mining, 200100 COMMUNICATION AND MEDIA STUDIES, Crisis Communication, Big Data, Twitter, Location
Publisher: Atlantis Press
Year: 2013
DOI identifier: 10.2991/icibet.2013.248
OAI identifier: oai:eprints.qut.edu.au:58830

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Citations

  1. (2012). Social Media Pulse: The shape of breaking news on social media.
  2. (2012). Tools and methods for capturing Twitter data during natural disasters.

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