T-Hoarder: a framework to process Twitter data streams

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dc.contributor.author Congosto Martínez, María Luz
dc.contributor.author Basanta Val, Pablo
dc.contributor.author Sánchez Fernández, Luis
dc.date.accessioned 2018-01-10T09:35:39Z
dc.date.available 2019-04-01T22:00:06Z
dc.date.issued 2017-04-01
dc.identifier.bibliographicCitation Journal of Network and Computer Applications (April 2017), vol. 83, pp. 28-39.
dc.identifier.issn 1084-8045
dc.identifier.uri http://hdl.handle.net/10016/26094
dc.description.abstract With the eruption of online social networks, like Twitter and Facebook, a series of new APIs have appeared to allow access to the data that these new sources of information accumulate. One of most popular online social networks is the micro-blogging site Twitter. Its APIs allow many machines to access the torrent simultaneously to Twitter data, listening to tweets and accessing other useful information such as user profiles. A number of tools have appeared for processing Twitter data with different algorithms and for different purposes. In this paper T-Hoarder is described: a framework that enables tweet crawling, data filtering, and which is also able to display summarized and analytical information about the Twitter activity with respect to a certain topic or event in a web-page. This information is updated on a daily basis. The tool has been validated with real use-cases that allow making a series of analysis on the performance one may expect from this type of infrastructure.
dc.description.sponsorship This work been partially supported by HERMES SMARTDRIVER (TIN2013 46801 C4 2 R) and AUDACity (TIN2016 77158 C4 1 R).
dc.format.extent 11
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2017 Elsevier Ltd. All rights reserved.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Micro-blogging
dc.subject.other Twitter analytics
dc.subject.other Data streaming
dc.subject.other Visualization
dc.title T-Hoarder: a framework to process Twitter data streams
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.jnca.2017.01.029
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2013-46801-C4-2-R
dc.relation.projectID Gobierno de España. TIN2016-77158-C4-1-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 28
dc.identifier.publicationlastpage 39
dc.identifier.publicationtitle Journal of Network and Computer Applications
dc.identifier.publicationvolume 83
dc.identifier.uxxi AR/0000019855
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