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From social networks to emergency operation centers: A semantic visualization approach

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Sistemas Interactivos (DEI)es
dc.contributor.authorOnorati, Teresa
dc.contributor.authorDíaz, Paloma
dc.contributor.authorCarrión Recio, Belén
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-02-15T09:34:45Z
dc.date.available2022-02-15T09:34:45Z
dc.date.issued2019-06
dc.description.abstractSocial networks are commonly used by citizens as a communication channel for sharing their messages about a crisis situation and by emergency operation centers as a source of information for improving their situation awareness. However, to utilize this source of information, emergency operators and decision makers have to deal with large and unstructured data, the content, reliability, quality, and relevance of which may vary greatly. In this paper, to address this challenge, we propose a visual analytics solution that filters and visualizes relevant information extracted from Twitter. The tool offers multiple visualizations to provide emergency operators with different points of view for exploring the data in order to gain a better understanding of the situation and take informed courses of action. We analyzed the scope of the problem through an exploratory study in which 20 practitioners answered questions about the integration of social networks in the emergency management process. This study inspired the design of a visualization tool, which was evaluated in a controlled experiment to assess its effectiveness for exploring spatial and temporal data. During the experiment, we asked 12 participants to perform 5 tasks related to data exploration and fill a questionnaire about their experience using the tool. One of the most interesting results obtained from the evaluation concerns the effectiveness of combining several visualization techniques to support different strategies for solving a problem and making decisions.en
dc.description.sponsorshipThis work was supported by the project PACE grant funded by the Spanish Ministry of Economy and Competitivity [TIN2016-77690-R].en
dc.identifier.bibliographicCitationOnorati, T., Díaz, P., Carrión, B. (2019). From social networks to emergency operation centers: A semantic visualization approach. Future Generation Computer Systems, 95, pp. 829-840en
dc.identifier.doihttps://doi.org/10.1016/j.future.2018.01.052
dc.identifier.issn0167-739X
dc.identifier.publicationfirstpage829
dc.identifier.publicationlastpage840
dc.identifier.publicationtitleFuture Generation Computer Systemsen
dc.identifier.publicationvolume95
dc.identifier.urihttps://hdl.handle.net/10016/34125
dc.identifier.uxxiAR/0000023137
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDGobierno de España. TIN2016-77690-R
dc.rights© Elsevier, 2019
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.otherSemantic visualization toolen
dc.subject.otherEm operatorsen
dc.subject.otherTwitteren
dc.subject.otherCitizen activitiesen
dc.subject.otherBehavioren
dc.subject.otherSocial networksen
dc.subject.otherEmergency practiceen
dc.titleFrom social networks to emergency operation centers: A semantic visualization approachen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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