The Mathematics of Infectious Diseases
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Mining the network value of customers
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Epidemic profiles and defense of scale-free networks
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Maximizing the spread of influence through a social network
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Information diffusion through blogspace
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On the Bursty Evolution of Blogspace
World Wide Web
Tracking Information Epidemics in Blogspace
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The dynamics of viral marketing
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Behavioral profiles for advanced email features
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Power-Law Distributions in Empirical Data
SIAM Review
On the quality of inferring interests from social neighbors
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
On the Vulnerability of Large Graphs
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
On word-of-mouth based discovery of the web
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Who drive people to forward information: publisher or spreader?
Proceedings of the Fifth Workshop on Social Network Systems
Understanding task-driven information flow in collaborative networks
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A predictive model for the temporal dynamics of information diffusion in online social networks
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Understanding video propagation in online social networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
DEMON: a local-first discovery method for overlapping communities
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Reconstruction and analysis of Twitter conversation graphs
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Exploring unknown paths in networks based on multiple random walks
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Selective Behavior in Online Social Networks
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
The role of organization hierarchy in technology adoption at the workplace
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Modeling information diffusion over social networks for temporal dynamic prediction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.