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A likelihood-based framework for the analysis of discussion threads
Abstract Online discussion threads are conversationOnline 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.ment or design of communication platforms.
Abstractsub Online discussion threads are conversationOnline 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.ment or design of communication platforms.
Bibtextype article  +
Doi 10.1007/s11280-012-0162-8  +
Has author Gomez V. + , Kappen H.J. + , Litvak N. + , Andreas Kaltenbrunner +
Has extra keyword Discussion threads + , Information cascades + , Novelty + , Online conversations + , Preferential attachments + , Slashdot + , Wikipedia + , Bulletin boards + , Maximum likelihood + , Social networking (online) +
Has keyword Discussion threads + , Information cascades + , Maximum likelihood + , Novelty + , Online conversations + , Preferential attachment + , Slashdot + , Wikipedia +
Issn 1386145X  +
Issue 0005-01-06  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 645–675  +
Published in World Wide Web +
Title A likelihood-based framework for the analysis of discussion threads +
Type journal article  +
Volume 16  +
Year 2013 +
Creation dateThis property is a special property in this wiki. 6 November 2014 12:01:29  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 12:01:29  +
DateThis property is a special property in this wiki. 2013  +
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A likelihood-based framework for the analysis of discussion threads + Title
 

 

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