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A likelihood-based framework for the analysis of discussion threads

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dc.contributor.author Gómez, Vicenç
dc.contributor.author Kappen, Hilbert J.
dc.contributor.author Litvak, Nelly
dc.contributor.author Kaltenbrunner, Andreas
dc.date.accessioned 2016-05-25T08:18:22Z
dc.date.available 2016-05-25T08:18:22Z
dc.date.issued 2013
dc.identifier.citation Gómez V, Kappen HJ, Litvak N, Kaltenbrunner A. A likelihood-based framework for the analysis of discussion threads. World Wide Web. 2013;16(5):645-75. doi: 10.1007/s11280-012-0162-8
dc.identifier.issn 1386-145X
dc.identifier.uri http://hdl.handle.net/10230/26746
dc.description.abstract Online discussion threads are conversational cascades in the form of posted messages that can be generally found in social systems that comprise many-to-many interaction such as blogs, news aggregators or bulletin board systems. We propose a framework based on generative models of growing trees to analyse the structure and evolution of discussion threads. We consider the growth of a discussion to be determined by an interplay between popularity, novelty and a trend (or bias) to reply to the thread originator. The relevance of these features is estimated using a full likelihood approach and allows to characterise the habits and communication patterns of a given platform and/or community. We apply the proposed framework on four popular websites: Slashdot, Barrapunto (a Spanish version of Slashdot), Meneame (a Spanish Digg-clone) and the article discussion pages of the English Wikipedia. Our results provide significant insight into understanding how discussion cascades grow and have potential applications in broader contexts such as community management or design of communication platforms.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof World Wide Web. 2013;16(5):645-75.
dc.relation.isreferencedby http://hdl.handle.net/10230/26270
dc.rights © The Author(s) 2012. This article is published with open access at Springerlink.com. his article is distributed under the terms of the Creative Commons Attribution/nLicense which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited
dc.rights.uri http://creativecommons.org/licenses/by/3.0/
dc.title A likelihood-based framework for the analysis of discussion threads
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1007/s11280-012-0162-8
dc.subject.keyword Discussion threads
dc.subject.keyword Online conversations
dc.subject.keyword Information cascades
dc.subject.keyword Preferential attachment
dc.subject.keyword Novelty
dc.subject.keyword Maximum likelihood
dc.subject.keyword Slashdot
dc.subject.keyword Wikipedia
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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