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Author |
Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang |
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Title |
Social media text mining and network analysis for decision support in natural crisis management |
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Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Pages |
840-845 |
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Keywords |
Arts computing; Decision support systems; Information systems; Software prototyping; Decision supports; Link analysis; Social media; Text mining; Vgi; Web Mining; Data mining |
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Abstract |
A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus. |
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Address |
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany; IT Innovation Centre, University of Southampton, Southampton, United Kingdom; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
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Track |
Social Media |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
1160 |
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Author |
Hans Zimmermann |
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Title |
Recent developments in emergency telecommunications |
Type |
Conference Article |
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Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
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Pages |
327-334 |
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Keywords |
Disasters; Information systems; Telecommunication; Analysis and evaluation; Early warning; Emergency; Emergency preparedness and response; Mitigation; Regulatory frameworks; Response; Telecommunication technologies; Emergency services |
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Abstract |
Recent Developments in the telecommunication technology offer a number of additional tools not only for the providers of emergency and disaster response, but may also facilitate early warning. Their application depends, however, on the regulatory framework governing telecommunications and on their appropriateness for the specific requirements in the pre-, peri- and postimpact phases of an event. Telecommunications are a key element for to the success of emergency preparedness and response, and the application of all available technologies and networks saves lives. The recent events in the Indian Ocean Region will have to be the subject of detailed analysis and evaluation of all existing mechanisms, hopefully leading to improvements in the organizational and operational field. First information available already in the immediate aftermath of the events of 26 December 2004 has been applied to the considerations in the present paper. |
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Address |
CEASA, IARU, United States |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
9076971099 |
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Track |
EMERGENCY ANNOUNCEMENT AND WARNING SYSTEMS |
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Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
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Serial |
1163 |
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Author |
Christopher W. Zobel; Stanley E. Griffis; Steven A. Melnyk; John R. MacDonald |
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Title |
Characterizing disaster resistance and recoveryusing outlier detection |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Pages |
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Keywords |
Computer simulation; Information systems; Statistics; Time series analysis; Disaster resiliences; Disaster resistance; Interaction effect; Outlier Detection; Predicted Resilience; Resilient behavior; Simulation; Transient behavior; Disasters |
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Abstract |
Most definitions of disaster resilience incorporate both the capacity to resist the initial impact of a disaster and the ability to recover after it occurs. Being able to characterize and analyze resilient behavior can lead to improved understanding not only of the capabilities of a given system, but also of the effectiveness of different strategies for improving its resiliency. This paper presents an approach for quantifying the transient behavior resulting from a disaster event in a way that allows researchers to not only describe the transient response but also assess the impact of various factors (both main and interaction effects) on this response. This new approach combines simulation modeling, time series analysis, and statistical outlier detection to differentiate between disaster resistance and disaster recovery. Following the introduction of the approach, the paper provides a preliminary look at its relationship to the existing concept of predicted disaster resilience. © 2012 ISCRAM. |
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Address |
Virginia Tech, United States; Michigan State University, United States |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
247 |
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