Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, and Il-Chul Moon, Identifying the Evolution of Disasters and Responses with Network-Text Analysis, IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, USA, Oct 5-8, 2014

Abstract : 

Disasters and responses have evolved over-time, and the evolution has been affected by various factors, such as societal change, climate change, and technological advance. To better prepare the future disasters, we need to estimate the evolution trend of the past disasters and the responses. This paper analyzes the academic articles of the field with network-text analyses. The analyses captured the word level and the topic level evolution over-time with statistical significance tests. Further, we turn the text mining results into the network analysis data to identify the key words and topics in the evolution paths. The proposed method suggests the swift of interests, i.e. the new ways of organizational interoperation, the evolution of logistic issues, in the disaster and response field.

@INPROCEEDINGS{6973985, 

author={K. Song and D. H. Kim and S. J. Shin and I. C. Moon}, 

booktitle={2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, 

title={Identifying the evolution of disasters and responses with network-text analysis}, 

year={2014}, 

pages={664-671}, 

keywords={data mining;emergency management;natural language processing;statistical testing;text analysis;climate change;disaster evolution;evolution paths;network analysis data;network-text analysis;response field;societal change;statistical significance tests;technological advance;text mining;topic level evolution;word level;Analytical models;Communities;Context;Earthquakes;Market research;Meteorology;Seismic measurements;Disaster;Disaster Responses;Horizon Scanning;Text-Mining;Topic Analysis}, 

doi={10.1109/SMC.2014.6973985}, 

ISSN={1062-922X}, 

month={Oct}

}

Source Website : 

 http://ieeexplore.ieee.org/document/6973985