Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
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
Characterizing social cascades in flickr
Proceedings of the first workshop on Online social networks
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
Characterizing individual communication patterns
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
From user comments to on-line conversations
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
The potential dangers of causal consistency and an explicit solution
Proceedings of the Third ACM Symposium on Cloud Computing
Reconstruction and analysis of Twitter conversation graphs
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
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We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these sites, a preferential attachment (PA) model with bias to the root can capture the temporal evolution of the observed trees and many of their statistical properties, namely, probability distributions of the branching factors (degrees), subtree sizes and certain correlations. The parameters of the model are learned efficiently using a novel maximum likelihood estimation scheme for PA and provide a figurative interpretation about the communication habits and the resulting discussion cascades on the four different websites.