Usability of small crisis data sets in the absence of big data
Big data is big news in almost every sector including crisis communlcation.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 abillty to collect with our current tools to understand if we can find actionable information from what we akeady 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 datathan a big data set can be useful to find priority disaster specific areas quickly.
Crisis Communication Big Data Twitter Location
Avijit Paul Axel Bruns
ARC Centre of Excellence for Creative Industries and Innovation,Queensland University of Technology,Brisbane,Australia
国际会议
北京
英文
718-721
2013-03-14（万方平台首次上网日期，不代表论文的发表时间）