The dynamics of mass interaction
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Tools for navigating large social cyberspaces
Communications of the ACM - Supporting community and building social capital
Discourse Diagrams: Interface Design for Very Large-Scale Conversations
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
On the Bursty Evolution of Blogspace
World Wide Web
Assessing differential usage of usenet social accounting meta-data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tracking Information Epidemics in Blogspace
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Follow the (slash) dot: effects of feedback on new members in an online community
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Non-public and public online community participation: Needs, attitudes and behavior
Electronic Commerce Research
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Random trees and general branching processes
Random Structures & Algorithms
Description and Prediction of Slashdot Activity
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
Social influence and the diffusion of user-created content
Proceedings of the 10th ACM conference on Electronic commerce
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Using a model of social dynamics to predict popularity of news
Proceedings of the 19th international conference on World wide web
Predicting the popularity of online content
Communications of the ACM
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Defining a Coparticipation Network Using Comments on Digg
IEEE Intelligent Systems
Correcting for missing data in information cascades
Proceedings of the fourth ACM international conference on Web search and data mining
Information spreading in context
Proceedings of the 20th international conference on World wide web
Modeling the structure and evolution of discussion cascades
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Comparative analysis of articulated and behavioural social networks in a social news sharing website
The New Review of Hypermedia and Multimedia - Special issue on Social Linking and Hypermedia
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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.