Randomized algorithms
A critical point for random graphs with a given degree sequence
Random Graphs 93 Proceedings of the sixth international seminar on Random graphs and probabilistic methods in combinatorics and computer science
Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Computational and Theoretical Aspects
Stochastic models for the Web graph
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
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
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Graph evolution: Densification and shrinking diameters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Random Graph Dynamics (Cambridge Series in Statistical and Probabilistic Mathematics)
Random Graph Dynamics (Cambridge Series in Statistical and Probabilistic Mathematics)
Preferential behavior in online groups
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Inferring agent dynamics from social communication network
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Intelligent assistance for conversational storytelling using story patterns
Proceedings of the 16th international conference on Intelligent user interfaces
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
Non-negative residual matrix factorization: problem definition, fast solutions, and applications
Statistical Analysis and Data Mining
Rise and fall patterns of information diffusion: model and implications
Proceedings of the 18th 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
Behaviour analysis across different types of enterprise online communities
Proceedings of the 3rd Annual ACM Web Science Conference
Reconstruction and analysis of Twitter conversation graphs
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
Characterizing and curating conversation threads: expansion, focus, volume, re-entry
Proceedings of the sixth ACM international conference on Web search and data mining
Mining structural hole spanners through information diffusion in social networks
Proceedings of the 22nd international conference on World Wide Web
A time decoupling approach for studying forum dynamics
World Wide Web
Proceedings of the 23rd international conference on World wide web
Engaging with massive online courses
Proceedings of the 23rd international conference on World wide web
The bursty dynamics of the Twitter information network
Proceedings of the 23rd international conference on World wide web
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How do online conversations build? Is there a common model that human communication follows? In this work we explore these questions in detail. We analyze the structure of conversations in three different social datasets, namely, Usenet groups, Yahoo! Groups, and Twitter. We propose a simple mathematical model for the generation of basic conversation structures and then refine this model to take into account the identities of each member of the conversation.