User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10331991" target="_blank" >RIV/00216208:11320/16:10331991 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ins.2016.01.014" target="_blank" >http://dx.doi.org/10.1016/j.ins.2016.01.014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2016.01.014" target="_blank" >10.1016/j.ins.2016.01.014</a>
Alternative languages
Result language
angličtina
Original language name
User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks
Original language description
In this paper we propose a procedure consisting of a first collection phase of social network messages, a subsequent user query selection, and finally a clustering phase, defined by extending the density-based DBSCAN algorithm, for performing a geographic and temporal exploration of a collection of items, in order to reveal and map their latent spatio-temporal structure. Specifically, both several geo-temporal distance measures and a density-based geo-temporal clustering algorithm are proposed. The approach can be applied to social messages containing an explicit geographic and temporal location. The algorithm usage is exemplified to identify geographic regions where many geotagged Twitter messages about an event of interest have been created, possibly in the same time period in the case of non-periodic events (aperiodic events), or at regular timestamps in the case of periodic events. This allows discovering the spatio-temporal periodic and aperiodic characteristics of events occurring in specific geographic areas, and thus increasing the awareness of decision makers who are in charge of territorial planning. Several case studies are used to illustrate the proposed procedure.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information Sciences
ISSN
0020-0255
e-ISSN
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Volume of the periodical
340-341
Issue of the periodical within the volume
May
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
122-143
UT code for WoS article
000371551900008
EID of the result in the Scopus database
2-s2.0-84957863065