Generative models of online discussion threads: state of the art and research challenges

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• dc.contributor.author Aragón, Pabloca
• dc.contributor.author Gómez, Vicençca
• dc.contributor.author García, Davidca
• dc.contributor.author Kaltenbrunner, Andreasca
• dc.date.accessioned 2018-03-19T11:08:15Z
• dc.date.available 2018-03-19T11:08:15Z
• dc.date.issued 2017
• dc.description.abstract Online discussion in form of written comments is a core component of many social media platforms. It has attracted increasing attention from academia, mainly because theories from social sciences can be explored at an unprecedented scale. This interest has led to the development of statistical models which are able to characterize the dynamics of threaded online conversations. In this paper, we review research on statistical modeling of online discussions, in particular, we describe current generative models of the structure and growth of discussion threads. These are parametrized network formation models that are able to generate synthetic discussion threads that reproduce certain features of the real discussions present in different online platforms. We aim to provide a clear overview of the state of the art and to motivate future work in this relevant research field.en
• dc.description.sponsorship This work has been supported by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Programme (MDM-2015-0502); the Marie Curie FP7-PEOPLE-2012-COFUND Action (grant agreement no: 600387); and the CIEN LPS-BIGGER project (UCTR150175, IDI-20141259), co-funded by Centro para el Desarrollo Tecnológico Industrial (CDTI) and Fondo Europeo de Desarrollo Regional (FEDER).
• dc.format.mimetype application/pdf
• dc.identifier.citation Aragón P, Gómez V, García D, Kaltenbrunner A. Generative models of online discussion threads: state of the art and research challenges. J Internet Serv Appl. 2017;8(15): 17 p. DOI: 10.1186/s13174-017-0066-z
• dc.identifier.doi http://dx.doi.org/10.1186/s13174-017-0066-z
• dc.identifier.issn 1869-0238
• dc.identifier.uri http://hdl.handle.net/10230/34197
• dc.language.iso eng
• dc.publisher SpringerOpenca
• dc.relation.ispartof Journal of Internet Services and Applications. 2017;8(15): 17 p.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/600387
• dc.rights © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Online discussionen
• dc.subject.keyword Computer-mediated communicationen
• dc.subject.keyword Discussion threadsen
• dc.subject.keyword Computational social scienceen
• dc.subject.keyword Social mediaen
• dc.title Generative models of online discussion threads: state of the art and research challengesca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion