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Mining rainfall spatio-temporal patterns in Twitter : a temporal approach
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Andrade, S. C. De, Restrepo-estrada, C., Delbem, A. C. B., Mendiondo, E. M. and Porto de Albuquerque, João (2017) Mining rainfall spatio-temporal patterns in Twitter : a temporal approach. In: Bregt, A. and Sarjakoski , T. and van Lammeren, R. and Rip, F., (eds.) Societal Geo-innovation. GIScience 2017. Lecture Notes in Geoinformation and Cartography . Springer, Cham, pp. 19-37. ISBN 9783319567587
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Official URL: http://doi.org/10.1007/978-3-319-56759-4_2
Abstract
Social networks are a valuable source of information to support the detection and monitoring of targeted events, such as rainfall episodes. Since the emergence of Web 2.0, several studies have explored the relationship between social network messages and authoritative data in the context of disaster management. However, these studies fail to address the problem of the temporal validity of social network data. This problem is important for establishing the correlation between social network activity and the different phases of rainfall events in real-time, which thus can be useful for detecting and monitoring extreme rainfall events. In light of this, this paper adopts a temporal approach for analyzing the cross-correlation between rainfall gauge data and rainfall-related Twitter messages by means of temporal units and their lag-time. This approach was evaluated by conducting a case study in the city of São Paulo, Brazil, using a dataset of rainfall data provided by the Brazilian National Disaster Monitoring and Early Warning Center. The results provided evidence that the rainfall gauge time-series and the rainfall-related tweets are not synchronized, but they are linked to a lag-time that ranges from −10 to +10 min. Furthermore, our temporal approach is thus able to pave the way for detecting patterns of rainfall in real-time based on social network messages.
Item Type: | Book Item | ||||||||||||
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Subjects: | Q Science > QC Physics | ||||||||||||
Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||||||||||
Library of Congress Subject Headings (LCSH): | Rain and rainfall -- Databases -- São Paulo (Brazil), Twitter (Firm), Social networks | ||||||||||||
Series Name: | Lecture Notes in Geoinformation and Cartography | ||||||||||||
Journal or Publication Title: | Proceedings of the AGILE Conference 2017 | ||||||||||||
Publisher: | Springer, Cham | ||||||||||||
ISBN: | 9783319567587 | ||||||||||||
Book Title: | Societal Geo-innovation. GIScience 2017 | ||||||||||||
Editor: | Bregt, A. and Sarjakoski , T. and van Lammeren, R. and Rip, F. | ||||||||||||
Official Date: | 5 April 2017 | ||||||||||||
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Page Range: | pp. 19-37 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Date of first compliant deposit: | 22 March 2017 | ||||||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||||||
Title of Event: | 20th AGILE Conference 2017 | ||||||||||||
Type of Event: | Conference | ||||||||||||
Location of Event: | Wageningen (The Netherlands) | ||||||||||||
Date(s) of Event: | 9-12 May 2017 | ||||||||||||
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