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

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dc.contributor.author Onorati, Teresa
dc.contributor.author Díaz, Paloma
dc.contributor.author Carrión Recio, Belén
dc.date.accessioned 2022-02-15T09:34:45Z
dc.date.available 2022-02-15T09:34:45Z
dc.date.issued 2019-06
dc.identifier.bibliographicCitation Onorati, T., Díaz, P., Carrión, B. (2019). From social networks to emergency operation centers: A semantic visualization approach. Future Generation Computer Systems, 95, pp. 829-840
dc.identifier.issn 0167-739X
dc.identifier.uri http://hdl.handle.net/10016/34125
dc.description.abstract Social 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.
dc.description.sponsorship This work was supported by the project PACE grant funded by the Spanish Ministry of Economy and Competitivity [TIN2016-77690-R].
dc.language.iso eng
dc.publisher Elsevier
dc.rights © Elsevier, 2019
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Semantic visualization tool
dc.subject.other Em operators
dc.subject.other Twitter
dc.subject.other Citizen activities
dc.subject.other Behavior
dc.subject.other Social networks
dc.subject.other Emergency practice
dc.title From social networks to emergency operation centers: A semantic visualization approach
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1016/j.future.2018.01.052
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2016-77690-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 829
dc.identifier.publicationlastpage 840
dc.identifier.publicationtitle Future Generation Computer Systems
dc.identifier.publicationvolume 95
dc.identifier.uxxi AR/0000023137
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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