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

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/34197

dc.contributor.author	Aragón, Pablo
dc.contributor.author	Gómez, Vicenç
dc.contributor.author	García, David
dc.contributor.author	Kaltenbrunner, Andreas
dc.date	2017
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.citation	1869-0238
dc.identifier.citation	http://dx.doi.org/10.1186/s13174-017-0066-z
dc.identifier.uri	http://hdl.handle.net/10230/34197
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	SpringerOpen
dc.relation	Journal of Internet Services and Applications. 2017;8(15): 17 p.
dc.relation	info:eu-repo/grantAgreement/EC/FP7/600387
dc.rights	info:eu-repo/semantics/openAccess
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	http://creativecommons.org/licenses/by/4.0/
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.subject	Online discussion
dc.subject	Computer-mediated communication
dc.subject	Discussion threads
dc.subject	Computational social science
dc.subject	Social media
dc.title	Generative models of online discussion threads: state of the art and research challenges
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
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.
dc.description.abstract	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).

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